<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:georss='http://www.georss.org/georss' xmlns:gd='http://schemas.google.com/g/2005' xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-5163337535802538756</id><updated>2012-02-16T20:01:36.881-08:00</updated><category term='How to Work and How to Do'/><category term='WBD-structures'/><category term='Effective WBS'/><category term='TRIZ Problem solving'/><category term='ISO 14000'/><category term='ISO 9000 Guidelines'/><category term='Responsibility'/><category term='Versatile ABC Analysis'/><category term='The Interrelationship'/><category term='Matrix Diagram'/><category term='ThreeM'/><category term='7 Quality Tools'/><category term='ISO 9000'/><category term='ISO9002'/><category term='WBS-Five Step'/><category term='Related to Product and Process'/><category term='Three Diagram'/><category term='Hostory'/><category term='EMS Goals'/><category term='QMS Goals'/><category term='Zero Defects Methodology'/><category term='Uses of Problem solving'/><category term='Process Decision Program'/><category term='Q Matrix'/><category term='Green Belts'/><category term='Environmental aspects'/><category term='In house Rejection'/><category term='Poka-Yoke use'/><category term='Effective Banquet'/><category term='WBS-Five steps'/><category term='Quality techniques'/><category term='Example of Operational Audit'/><category term='Master Black Belt'/><category term='SixW and ThreeH'/><category term='Affinity Diagram'/><category term='QMS Objectives'/><category term='EMS Steps'/><category term='The Tools'/><category term='Legal and other requirement'/><category term='Typical Force Field Analysis'/><category term='Six Sigma'/><category term='Force Field analysis Tool'/><category term='ISO/TS 16949:2002'/><category term='Auditor Resp.'/><category term='Operational Auditing'/><category term='ISO9004'/><category term='Prioritization Grid'/><category term='ABC Analysis'/><category term='ISO 9001'/><category term='Black Belts'/><category term='QMS Analysis'/><category term='Word A to Z Dictionary'/><category term='Actvity Network Diagrams'/><category term='A B C - Class Items'/><category term='Case study'/><category term='Champion'/><category term='EMP'/><category term='Dictate'/><category term='Objective'/><category term='Benchmarking'/><category term='FF-Tool Application'/><category term='ISO9003'/><category term='Implement'/><category term='Six Sigma Information'/><category term='Focus Area'/><category term='Poka Yoke Examples'/><title type='text'>Industrial Quality Tools</title><subtitle type='html'>Quality is a powerful tools in industry for gaining profit.</subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://quality4yours.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5163337535802538756/posts/default?max-results=100'/><link rel='alternate' type='text/html' href='http://quality4yours.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><author><name>UTPAL PATEL</name><uri>http://www.blogger.com/profile/03630983542493943403</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://2.bp.blogspot.com/_idGWDVFD7-I/SkYH7ceUwFI/AAAAAAAAAHQ/KFD8FMlex5M/S220/UBP-1.JPG'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>20</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>100</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-5163337535802538756.post-8026890903309799274</id><published>2009-07-11T03:55:00.003-07:00</published><updated>2009-07-11T04:20:47.747-07:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Word A to Z Dictionary'/><title type='text'>QUALITY DICTIONARY : From "A" to "Z"</title><content type='html'>&lt;meta equiv="Content-Type" content="text/html; 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	mso-padding-alt:0in 5.4pt 0in 5.4pt; 	mso-para-margin:0in; 	mso-para-margin-bottom:.0001pt; 	mso-pagination:widow-orphan; 	font-size:10.0pt; 	font-family:"Times New Roman"; 	mso-fareast-font-family:"Times New Roman"; 	mso-ansi-language:#0400; 	mso-fareast-language:#0400; 	mso-bidi-language:#0400;} &lt;/style&gt; &lt;![endif]--&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size:130%;"&gt;&lt;b style="color: rgb(204, 51, 204);"&gt;&lt;span style="font-family:Georgia;"&gt;QUALITY DICTIONARY&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal"&gt;&lt;meta equiv="Content-Type" content="text/html; charset=utf-8"&gt;&lt;meta name="ProgId" content="Word.Document"&gt;&lt;meta name="Generator" content="Microsoft Word 11"&gt;&lt;meta name="Originator" content="Microsoft Word 11"&gt;&lt;link rel="File-List" href="file:///C:%5CDOCUME%7E1%5Cqc%5CLOCALS%7E1%5CTemp%5Cmsohtml1%5C01%5Cclip_filelist.xml"&gt;&lt;!--[if gte mso 9]&gt;&lt;xml&gt; 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	mso-font-charset:0; 	mso-generic-font-family:roman; 	mso-font-pitch:variable; 	mso-font-signature:647 0 0 0 159 0;}  /* Style Definitions */  p.MsoNormal, li.MsoNormal, div.MsoNormal 	{mso-style-parent:""; 	margin:0in; 	margin-bottom:.0001pt; 	mso-pagination:widow-orphan; 	font-size:10.0pt; 	font-family:"Times New Roman"; 	mso-fareast-font-family:"Times New Roman"; 	mso-fareast-language:EN-US;} @page Section1 	{size:8.5in 11.0in; 	margin:1.0in 1.25in 1.0in 1.25in; 	mso-header-margin:.5in; 	mso-footer-margin:.5in; 	mso-paper-source:0;} div.Section1 	{page:Section1;} --&gt; &lt;/style&gt;&lt;!--[if gte mso 10]&gt; &lt;style&gt;  /* Style Definitions */  table.MsoNormalTable 	{mso-style-name:"Table Normal"; 	mso-tstyle-rowband-size:0; 	mso-tstyle-colband-size:0; 	mso-style-noshow:yes; 	mso-style-parent:""; 	mso-padding-alt:0in 5.4pt 0in 5.4pt; 	mso-para-margin:0in; 	mso-para-margin-bottom:.0001pt; 	mso-pagination:widow-orphan; 	font-size:10.0pt; 	font-family:"Times New Roman"; 	mso-fareast-font-family:"Times New Roman"; 	mso-ansi-language:#0400; 	mso-fareast-language:#0400; 	mso-bidi-language:#0400;} &lt;/style&gt; &lt;![endif]--&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;&lt;span style="font-size:100%;"&gt;.&lt;/span&gt;&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;A&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Acceptable Quality Level (AQL)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; AQL is limit of a satisfactory process average at a particular quality level when a continuing series of lots is considered.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;span style=""&gt; &lt;/span&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Acceptance Sampling&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Inspection of a sample from a lot to decide whether to accept or not accept that lot. There are two types - attributes sampling and variables sampling. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Accredited Registrars&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; are qualified organizations certified by a national body to perform audits to the QS9000 standard and to register the audited facility as meeting these requirements for a given commodity. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Accuracy&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The closeness of agreement between an observed value and an accepted reference value. Also see Precision.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Activity&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A process, function or task that occurs over time and has recognizable results. Activities combine to form business processes. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Activity Analysis&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;: the analysis and measurement (in terms of time, cost, and throughput) of distinct units of work that make up a process.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Activity Model&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A graphic representation of a business process that exhibits the activities and their interdependencies that make up the business process to any desired level of detail. An activity model reveals the interactions between activities in terms of inputs and outputs while showing the controls placed on each activity and the types of resources assigned to each activity.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Activity, non-value added&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - Any activity that provides a negative return on the investment or allocation of resources to that activity. Within broad limits, the enterprise benefits by allocating less resource to non-value added activities.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Activity, value added&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - Any activity that contributes directly to the performance of a mission, and could not be eliminated without impairing the mission.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Activity-based costing (ABC)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A system for making business decisions based on cost information of fundamental business activities as tasks related to product design, development, quality, manufacturing, distribution, customer acquisition, service and support. ABC is sometimes considered a form of business process re-engineering as it insists on surfacing a manageable number of cost drivers that can be used to trace variable business costs to customer, products and processes.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Affinity Diagram&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A way to organize facts, opinions, ideas and issues into natural groupings as an aid to diagnosis on a complex problem. A large number of ideas are generated and then organized into groupings to reveal major themes.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;AIAG &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;Automotive Industry Action Group&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Algorithm&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; (1) A finite set of well-defined rules for the solution of a problem in a finite number of steps. (2) Any sequence of operations for performing a specific task.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Algorithm analysis&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A software task to ensure that the algorithms selected are correct, appropriate, and stable, and meet all accuracy, timing, and sizing requirements.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Alignment-&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;a scale which measures how close an employee's personal needs are to the organization's needs.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;ALPHA RISK&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - The probability of accepting the alternate hypothesis when, in reality, the null hypothesis is true.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;ALTERNATE HYPOTHESIS&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - A tentative explanation which indicates that an event does not follow a chance distribution; a contrast to the null hypothesis.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Analysis of Means (ANOM) &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;Developed by Ellis R. Ott in 1967 (later enhanced by Edward Schilling), ANOM is a statistical procedure for troubleshooting industrial processes and analyzing the results of experimental designs with factors at fixed levels. It provides a graphical display of data. Ellis R. Ott developed the procedure in 1967 because he observed that non-statisticians had difficulty understanding analysis of variance.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;    &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Analysis of Variance (ANOVA)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; a basic statistical technique for analyzing experimental data. It subdivides the total variation of a data set into meaningful component parts associated with specific sources of variation in order to test a hypothesis on the parameters of the model or to estimate variance components.&lt;/span&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;br /&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Analysis &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;(1) To separate into elemental parts or basic principles so as to determine the nature of the whole (2) A course of reasoning showing that a certain result is a consequence of assumed premises. (3) (ANSI) The methodical investigation of a problem, and the separation of the problem into smaller related units for further detailed study.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;ANALYTIC NETWORK PROCESS&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The Analytic Network Process (ANP), though based on the Analytic Hierarchy Process, is a system for the analysis, synthesis, and justification of complex decisions with the capability to model non-linear relations between the elements. ANP allows the decision maker(s) to leap beyond the traditional hierarchy to the interdependent environment of network modeling. The ANP is designed for problems characterized by the added complexity of interdependencies such as feedback and dependencies among problem elements. Using a network approach makes it possible to represent and analyze interactions, incorporate non-linear relations between the elements, and synthesize mutual effects by a single logical procedure.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Analytical Hierarchy Process (AHP)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Developed by Thomas Saaty, AHP provides a proven, effective means to deal with complex decision making and can assist with identifying and weighting selection criteria, analyzing the data collected for the criteria and expediting the decision-making process.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Anomaly&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;. Anything observed in the documentation or operation of software that deviates from expectations based on previously verified software products or reference documents. See: bug, defect, error, exception, fault.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Appearance&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Item Is a product that is visible once the vehicle is completed. Certain customers will identify appearance items on the engineering drawings. In these cases, special approval for appearance (color, grain, texture, etc.) is required prior to production part submissions.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Apportionment&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Synonymous with the term Reliability Apportionment, which is the assignment of reliability goals from system to subsystem in such a way that the whole system will have the required reliability.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Approved Drawing&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Is an engineering drawing signed by the engineer and released through the customer's system.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Approved Material&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Approved Materials are materials governed either by industry standard specifications (e.g., SAE, ASTM, DIN, ISO) or by customer specifications.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;APQP&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Advanced Product Quality Planning&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;AQP&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Advanced Quality Plan&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Architecture&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The organizational structure of a system or component.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Arrow Diagram&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; is another term for a PERT or CPM chart. It is a graphic description of the sequential steps that must be completed before a project can be completed.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Arrow Diagram method&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; establishes the most suitable daily plan and monitors its progress efficiently. ... The arrow diagram method utilized by PERT or CPM, is a network of lines that connect all the elements related to plan execution. It is typically represented graphically by either a horizontal or vertical tree structure connecting the elements.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Assertion&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A logical expression specifying a program state that must exist or a set of conditions that program variables must satisfy at a particular point during program execution.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Assertion checking &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;Checking of user-embedded statements that assert relationships between elements of a program. An assertion is a logical expression that specifies a condition or relation among program variables. Tools that test the validity of assertions as the program is executing or tools that perform formal verification of assertions have this feature.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Assessment &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;An evaluation process including a document review, an on-site audit and an analysis and report. Customers may also include a self-assessment, internal audit results and other materials in the assessment.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Assignable Cause&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The cause(s) of variation in a process which have a source that is identified, and can be eventually eliminated. [Same as Special Cause]&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;ASSIGNABLE VARIATIONS&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - Variations in data which can be attributed to specific causes.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Attribute&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - A characteristic that may take on only one value, e.g. 0 or 1.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Attribute Data&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; 1. Product, process , or component data that is qualitative, rather than quantitative in nature. 2. Product, process , or component data that is measured strictly by either conforming or not. Such data that is counted in discrete units such as dollars, hours, items, and yes/no options. The alternative to attributes data is variables data, which is data that is measured on a continuous and infinite scale such as temperature or distance. Charts that use attribute data include bar charts, pie charts, Pareto charts and some control charts.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;      &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;br /&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;AUDIT&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - A periodic inspection to ensure that a process is conforming to its specifications.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Audit (Quality)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; An independent review conducted to compare some aspect of quality performance with a standard for that performance. (Juran, Quality Control Handbook)&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Audit &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;(1)An independent examination of a work product or set of work products to assess compliance with specifications, standards, contractual agreements, or other criteria. (2) (ANSI) To conduct an independent review and examination of system records and activities in order to test the adequacy and effectiveness of data security and data integrity procedures, to ensure compliance with established policy and operational procedures, and to recommend any necessary changes.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Audit trail &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;(1) (ISO) Data in the form of a logical path linking a sequence of events, used to trace the transactions that have affected the contents of a record. (2) A chronological record of system activities that is sufficient to enable the reconstruction, reviews, and examination of the sequence of environments and activities surrounding or leading to each event in the path of a transaction from its inception to output of final results.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Availability&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A product or service's ability to perform its intended function at a given time and under appropriate conditions. It can be expressed by the ratio operative time/total time where operative time is the time that it is functioning or ready to function.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Average chart (X-bar chart)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A control chart in which the average of the subgroup, represented by the X-bar, is to determine the stability or lack thereof in the process. Average charts are usually paired with range charts or sample standard deviation charts for complete analysis.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Average Outgoing Quality (AOQ)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The expected average quality level of outgoing product for a given value of incoming product quality.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Average Outgoing Quality Limit (AOQL)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The maximum average outgoing quality over all possible levels of incoming quality for a given acceptance sampling plan and disposal specification&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;B&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;a href="http://www.itpolicy.gsa.gov/mkm/pathways/samples.htm"&gt;&lt;b style=""&gt;&lt;span style="color:teal;"&gt;Balanced Scorecard&lt;/span&gt;&lt;/b&gt;&lt;/a&gt;&lt;span style="color:teal;"&gt; &lt;/span&gt;A framework which translates a company's vision and strategy into a coherent set of performance measures. Developed by Robert Kaplan and David Norton (published in the Harvard Business Review in 1993), a balanced business scorecard helps businesses evaluate how well they meet their strategic objectives. It typically has four to six components, each with a series of sub-measures. Each component highlights one aspect of the business. The balanced scorecard includes measures of performance that are lagging (return on capital, profit), medium-term indicators (like customer satisfaction indices) and leading indicators (such as adoption rates for, or revenue from, new products).&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Baldrige Award&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Malcolm Baldridge National Quality Award: An annual award given to a &lt;st1:country-region st="on"&gt;&lt;st1:place st="on"&gt;United States&lt;/st1:place&gt;&lt;/st1:country-region&gt; company that excels in quality management and quality achievement. [Same as MBNA.]&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Bar chart&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A chart that compares different groups of data to each other through the use of bars that represent each group. Bar charts can be simple, in which each group of data consists of a single type of data, or grouped or stacked, in which the groups of data are broken down into internal categories.representation.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Baseline&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A specification or product that has been formally reviewed and agreed upon, that serves as the basis for further development, and that can be changed only through formal change control procedures.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Batch&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A definite quantity of some product or material produced under conditions that are considered uniform.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Batch processing&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Execution of programs serially with no interactive processing. Contrast with real time processing.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Benchmark &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;A standard against which measurements or comparisons can be made.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Benchmark Data&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The results of an investigation to determine how competitors and/or best in class companies achieve their level of performance.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Benchmarking:&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; a structured approach for identifying the best practices from industry and government, and comparing and adapting them to the organization's operations. Such an approach is aimed at identifying more efficient and effective processes for achieving intended results, and suggesting ambitious goals for program output, product/service quality, and process improvement..&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Best practice&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - A way or method of accomplishing a business function or process that is considered to be superior to all other known methods.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;BETA RISK&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The probability of accepting the null hypothesis when, in reality, the alternate hypothesis is true.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt; &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Bias&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A systematic error, which contributes to the difference between a population mean of measurements or test results and an accepted reference value.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Bill of Material&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Total list of all components/materials required to manufacture the product.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Black Belt&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The leader of the team responsible for applying the Six Sigma process.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Black-box testing &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;(1) Testing that ignores the internal mechanism or structure of a system or component and focuses on the outputs generated in response to selected inputs and execution conditions. (2) Testing conducted to evaluate the compliance of a system or component with specified functional requirements and corresponding predicted results. Syn. functional testing, input/output driven testing. Contrast with white-box testing.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Block Diagram&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The block diagram is a simple pictorial representation of a system/sub systems linked to illustrate the relationships between components/subsystems&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;BOM&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Bill Of Material&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Boundary value &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;(1) (IEEE) A data value that corresponds to a minimum or maximum input, internal, or output value specified for a system or component. (2) A value which lies at, or just inside or just outside a specified range of valid input and output values.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Brainstorming&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A tool used to encourage creative thinking and new ideas. A group formulates and records as many ideas as possible concerning a certain subject, regardless of the content of the ideas. No discussion, evaluation, or criticism of ideas is allowed until the brainstorming session is complete.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Branch&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; An instruction which causes program execution to jump to a new point in the program sequence, rather than execute the next instruction. Syn: jump.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Branch analysis&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; (Myers) A test case identification technique which produces enough test cases such that each decision has a true and a false outcome at least once. Contrast with path analysis.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Branch coverage&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; (NBS) A test coverage criteria which requires that for each decision point each possible branch be executed at least once. Syn: decision coverage. Contrast with condition coverage, multiple condition coverage, path coverage, statement coverage.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Breakthrough thinking&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A management technique which emphasizes the development of new, radical approaches to traditional constraints, as opposed to incremental or minor changes in thought that build on the original approach.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Bug&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A fault in a program which causes the program to perform in an unintended or unanticipated manner. See: anomaly, defect, error, exception, fault.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Business process&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - A collection of activities that work together to produce a defined set of products and services. All business processes in an enterprise exist to fulfill the mission of the enterprise. Business processes must be related in some way to mission objectives.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Business Process Improvement (BPI)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; - The betterment of an organization's business practices through the analysis of activities to reduce or eliminate non-value added activities or costs, while at the same time maintaining or improving quality, productivity, timeliness, or other strategic or business purposes as evidenced by measures of performance. Also called functional process improvement.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Business Process Reengineering (BPR)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A structured approach by all or part of an enterprise to improve the value of its products and services while reducing resource requirements. The transformation of a business process to achieve significant levels of improvement in one or more performance measures relating to fitness for purpose, quality, cycle time, and cost by using the techniques of streamlining and removing added activities and costs.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Business Process&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;: a collection of related, structured activities -- a chain of events -- that produces a specific service or product for a particular customer or customers&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;br /&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;C&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Capability&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; is the total range of inherent variation in a stable process. It is determined using data from control charts. The control charts shall indicate stability before capability calculations can be made. Histograms are to be used to examine the distribution pattern of individual values and verify a normal distribution. When analysis indicates a stable process and a normal distribution, the indices Cp and Cpk can be calculated. If analysis indicates a non normal distribution, advanced statistical tools such as PPM analysis, will be required to determine capability. If control charts show the process to be non stable, the index Ppk can be calculated.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt; &lt;b style=""&gt;CAR &lt;/b&gt;Corrective Action Request&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt; &lt;b style=""&gt;Care mapping&lt;/b&gt; Medical procedure for a particular diagnosis in a diagrammatic form that includes key decision points used to coordinate care and instruct patient.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt; &lt;b style=""&gt;Cause&lt;/b&gt; That which produces an effect or brings about a change.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt; &lt;b style=""&gt;Cause &amp;amp; Effect diagram&lt;/b&gt; A tool used to analyze all factors (causes) that contribute to a given situation or occurrence (effect) by breaking down main causes into smaller and smaller sub-causes. It is also known as the Ishikawa or the fishbone diagram.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt; &lt;b style=""&gt;Cause effect graphing&lt;/b&gt;(1) Test data selection technique The input and output domains are partitioned into classes and analysis is performed to determine which input classes cause which effect. A minimal set of inputs is chosen which will cover the entire effect set. (2) (Myers) A systematic method of generating test cases representing combinations of conditions. See: testing, functional.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt; &lt;b style=""&gt;Centre Line&lt;/b&gt; The line on a statistical process control chart which represents the characteristic's central tendency.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;CFT&lt;/b&gt; Cross Functional Team.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt; &lt;b style=""&gt;Change control&lt;/b&gt; The processes, authorities for, and procedures to be used for all changes that are made to the computerized system and/or the system's data. Change control is a vital subset of the Quality Assurance [QA] program within an establishment and should be clearly described in the establishment's SOPs, See: configuration control.&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt; &lt;b style=""&gt;Change tracker&lt;/b&gt; A software tool which documents all changes made to a program.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Characteristics &lt;/b&gt;A definable or measurable feature of a process, product, or variable. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Central Tendency&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Numerical average, e.g., mean, median, and mode; center line on a statistical process control chart.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;CHART &lt;/b&gt;A form used to display information obtained through data collection when measuring defects and/or problems.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;CHARTER &lt;/b&gt;A document that specifies the purpose of a team, its power, it's reporting relationships, and its specific responsibilities.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Check sheet&lt;/b&gt; A customized form used to record data. Usually, it is used to record how often some activity occurs. A list of things to do.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;CIM&lt;/b&gt; Computer Integrated Manufacturing&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Client/server&lt;/b&gt; A term used in a broad sense to describe the relationship between the receiver and the provider of a service. In the world of microcomputers, the term client-server describes a networked system where front-end applications, as the client, make service requests upon another networked system. Client-server relationships are defined primarily by software. In a local area network [LAN], the workstation is the client and the file server is the server. However, client-server systems are inherently more complex than file server systems. Two disparate programs must work in tandem, and there are many more decisions to make about separating data and processing between the client workstations and the database server. The database server encapsulates database files and indexes, restricts access, enforces security, and provides applications with a consistent interface to data via a data dictionary.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Clinical practice guidelines&lt;/b&gt; A general term for statements of accepted medical procedure for a particular diagnosis.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;CMI &lt;/b&gt;Certified Mechanical Inspector&lt;br /&gt;&lt;!--[if !supportLineBreakNewLine]--&gt;&lt;br /&gt;&lt;!--[endif]--&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Code audit&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; An independent review of source code by a person, team, or tool to verify compliance with software design documentation and programming standards. Correctness and efficiency may also be evaluated. Contrast with code inspection, code review, code walkthrough. See: static analysis.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Code inspection &lt;/b&gt;(Myers/NBS) A manual [formal] testing [error detection] technique where the programmer reads source code, statement by statement, to a group who ask questions analyzing the program logic, analyzing the code with respect to a checklist of historically common programming errors, and analyzing its compliance with coding standards. Contrast with, code audit, code review, code walkthrough. This technique can also be applied to other software and configuration items. Syn: Fagan Inspection. See: static analysis.&lt;br /&gt;Code program, source code.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Code review &lt;/b&gt;(IEEE) A meeting at which software code is presented to project personnel, managers, users, customers, or other interested parties for comment or approval. Contrast with code audit, code inspection, code walkthrough. See: static analysis.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Code walkthrough&lt;/b&gt; (MyersINBS) A manual testing [error detection] technique where program (source code] logic [structure] is traced manually [mentally] by a group with a small set of test cases, while the state of program variables is manually monitored, to analyze the programmer's logic and assumptions. Contrast with code audit, code inspection, code review. See: static analysis.&lt;br /&gt;&lt;!--[if !supportLineBreakNewLine]--&gt;&lt;br /&gt;&lt;!--[endif]--&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Coding standards&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Written procedures describing coding [programming] style conventions specifying rules governing the use of individual constructs provided by the programming language, and naming, formatting, and documentation requirements which prevent programming errors, control complexity and promote understandability of the source code. Syn: development standards, programming standards.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Common Cause Variation&lt;/b&gt; is variation caused by the process. It is produced by the interaction of aspects of the process that affect every occurrence&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Common Cause Variation&lt;/b&gt; that affects all the individual values of a process &lt;b style=""&gt;Common causes &lt;/b&gt;Inherent causes of variation in a process. They are typical of the process, not unexpected. That is not to say that they must be tolerated; on the contrary, once special causes of variation are largely removed, a focus on removing common causes of variation can pay big dividends.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Comparitor&lt;/b&gt; (IEEE) A software tool that compares two computer programs, files, or sets of data to identify commonalities or differences. Typical objects of comparison are similar versions of source code, object code, data base files, or test results.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Completeness &lt;/b&gt;(NIST) The property that all necessary parts of the entity are included. Completeness of a product is often used to express the fact that all requirements have been met by the product. See: traceability analysis.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Complexity &lt;/b&gt;(IEEE) (1) The degree to which a system or component has a design or implementation that is difficult to understand and verify. (2) Pertaining to any of a set of structure based metrics that measure the attribute in (1).&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Computer aided software engineering&lt;/b&gt; (CASE)An automated system for the support of software development including an integrated tool set, i.e., programs, which facilitate the accomplishment of software engineering methods and tasks such as project planning and estimation, system and software requirements analysis, design of data structure, program architecture and algorithm procedure, coding, testing and maintenance.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Computer system audit &lt;/b&gt;(ISO) An examination of the procedures used in a computer system to evaluate their effectiveness and correctness and to recommend improvements. See: software audit.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Computer system security&lt;/b&gt;(IEEE) The protection of computer hardware and software from accidental or malicious access, use, modification, destruction, or disclosure. Security also pertains to personnel, data, communications, and the physical protection of computer installations.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Confidence Level&lt;/b&gt; The probability that a random variable x lies within a defined interval.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Confidence Limit&lt;/b&gt; The two values that define the confidence interval.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Configurable&lt;/b&gt;, off-the-shelf software (COTS)Application software, sometimes general purpose, written for a variety of industries or users in a manner that permits users to modify the program to meet their individual needs.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Configuration control &lt;/b&gt;(IEEE) An element of configuration management, consisting of the evaluation, coordination, approval or disapproval, and implementation of changes to configuration items after formal establishment of their configuration identification. See: change control.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Configuration management&lt;/b&gt; (IEEE) A discipline applying technical and administrative direction and surveillance to identify and document the functional and physical characteristics of a configuration item, control changes to those characteristics, record and report change processing and implementation status, and verifying compliance with specified requirements. See: configuration control, change control&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Conformance&lt;/b&gt; Meeting requirements or specifications.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Confouding &lt;/b&gt;Allowing two or more variables to vary together so that it is impossible to separate their unique effects.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Consensus&lt;/b&gt; Acceptance of a team decision so that everyone on the team can live with the decision and support it.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Consensus Method&lt;/b&gt; used in reaching unanimous agreement by voluntarily giving consent. An agreement to support a decision.&lt;br /&gt;consistency checker A software tool used to test requirements in design specifications for both consistency and completeness.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Consistency&lt;/b&gt; (IEEE) The degree of uniformity, standardization, and freedom from contradiction among the documents or parts of a system or component.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Consumers Risk &lt;/b&gt;Probability of accepting a lot when, in fact, the lot should have been rejected (see BETA RISK).&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Continuous Data &lt;/b&gt;Numerical information at the interval of ratio level; subdivision is conceptually meaningful; can assume any number within an interval, e.g., 14.652 amps.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Continuous improvement&lt;/b&gt; On-going improvement of any and all aspects of an organization including products, services, communications, environment, functions, individual processes, etc.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Continuous Process Improvement &lt;/b&gt;A policy that encourages, mandates, and/or empowers employees to find ways to improve process and product performance measures on an ongoing basis.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Continuous Random Variable&lt;/b&gt; A random variable which can assume any value continuously in some specified interval.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Control Chart&lt;/b&gt; is a line chart with control limits. It is based on the work of Shewhart and Deming. By mathematically constructing control limits at 3 standard deviations above and below the average, one can determine what variation is due to normal ongoing causes (common causes) and what variation is produced by unique events (special causes). By eliminating the special causes first and then reducing common causes, quality can be improved.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Control Charts&lt;/b&gt; Statistical charts used in process measurement. Used to differentiate process variation caused by common cause versus special cause or assignable cause.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Control flow analysis&lt;/b&gt; (IEEE) A software V&amp;amp;V task to ensure that the proposed control flow is free of problems, such as design or code elements that are unreachable or incorrect.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Control flow diagram. &lt;/b&gt;(IEEE) A diagram that depicts the set of all possible sequences in which operations may be performed during the execution of a system or program. Types include box diagram, flowchart, input-process-output chart, state diagram. Contrast with data flow diagram. See: call graph, structure chart.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Control limit &lt;/b&gt;A statistically-determined line on a control chart used to analyze variation within a process. If variation exceeds the control limits, then the process is being affected by special causes and is said to be "out of control." A control limit is not the same as a specification limit.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Control Plans &lt;/b&gt;Control Plans are written descriptions of the systems for controlling parts and processes. They are written by suppliers to address the important characteristics and engineering requirements of the product. Each part shall have a Control Plan, but in many cases, "family" Control Plans can cover a number of parts produced using a common process. Customer approval of Control Plans may be required prior to production part submission.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Control Plans&lt;/b&gt; Written descriptions of the systems for controlling parts and processes.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Control Point&lt;/b&gt; is the desired result of a process.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Control Specifications &lt;/b&gt;Specifications called for by the product being manufactured.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Corrective Action&lt;/b&gt; Documented and purposeful change implemented to eliminate forever a specific cause of an identified non conformance.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Corrective Action&lt;/b&gt; Action(s) designed to identify and eliminate root causes of non-conformances and non-conformities.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Corrective Action Plan&lt;/b&gt; A Corrective Action Plan is a plan for correcting a process or part quality issue.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Corrective maintenance&lt;/b&gt; (IEEE) Maintenance performed to correct faults in hardware or software. Contrast with adaptive maintenance, preventative maintenance.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Correctness&lt;/b&gt; (IEEE) The degree to which software is free from faults in its specification, design and coding. The degree to which software, documentation and other items meet specified requirements. The degree to which software, documentation and other items meet user needs and expectations, whether specified or not.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cost of Poor Quality&lt;/b&gt; Internal and External Failure Cost plus Appraisal and Prevention Costs&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cost of poor quality&lt;/b&gt; The costs incurred by producing products or services of poor quality. These costs usually include the cost of inspection, rework, duplicate work, scrapping rejects, replacements and refunds, complaints, and loss of customers and reputation.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cost of Quality &lt;/b&gt;The total labor, materials, and overhead costs attributed to: 1) preventing nonconforming products products or services, 2) appraising products or service to ensure conformance, or 3) correcting or scrapping nonconforming products products or service.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Count chart&lt;/b&gt; (c chart) An attributes data control chart that evaluates process stability by charting the counts of occurrences of a given event in successive samples.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Count-per-unit chart&lt;/b&gt; (u chart) A control chart that evaluates process stability by charting the number of occurrences of a given event per unit sampled, in a series of samples.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Coverage analysis&lt;/b&gt; (NIST) Determining and assessing measures associated with the invocation of program structural elements to determine the adequacy of a test run. Coverage analysis is useful when attempting to execute each statement, branch, path, or iterative structure in a program. Tools that capture this data and provide reports summarizing relevant information have this feature See: testing, branch; testing, path; testing, statement.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cp&lt;/b&gt; Commonly used process capability index defined as [USL (upper spec limit) - LSL(lower spec limit)] / [6 x sigma], where sigma is the estimated process standard deviation.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cp/Cpk&lt;/b&gt; Capability Ratio/Capability Index&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cpk &lt;/b&gt;Commonly used process capability index defined as the lesser of USL - m / 3sigma or m - LSL / 3sigma, where sigma is the estimated process standard deviation.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;CQT&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; ASQ Certified Quality Technician&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Crash&lt;/b&gt; (IEEE) The sudden and complete failure of a computer system or component.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;CRE&lt;/b&gt; ASQ Certified Reliability Engineer&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Critical Characteristics &lt;/b&gt;Critical Characteristics are those product requirements (dimensions, performance tests) or process parameters that can affect compliance with government regulations of safe vehicle/product function and which require specific supplier, assembly, shipping, or monitoring and inclusion on Control Plans. Critical characteristics are identified with the inverted delta symbol.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Critical control point &lt;/b&gt;(CA) A function or an area in a manufacturing process or procedure, the failure of which, or loss of control over, may have an adverse affect on the quality of the finished product and may result in a unacceptable health risk.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Critical design review&lt;/b&gt;(IEEE) A review conducted to verify that the detailed design of one or more configuration items satisfy specified requirements; to establish the compatibility among the configuration items and other items of equipment, facilities, software, and personnel; to assess risk areas for each configuration item; and, as applicable, to assess the results of producibility analyses, review preliminary hardware product specifications, evaluate preliminary test planning, and evaluate the adequacy of preliminary operation and support documents. See: preliminary design review, system design review.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Criticality analysis.&lt;/b&gt; (IEEE) Analysis which identifies all software requirements that have safety implications, and assigns a criticality level to each safety-critical requirement based upon the estimated risk.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Criticality&lt;/b&gt;(IEEE) The degree of impact that a requirement, module, error, fault, failure, or other item has on the development or operation of a system. Syn: severity.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cumulative sum chart&lt;/b&gt; Control chart that shows the cumulative sum of deviations from a set value in successive samples. Each plotted point indicates the algebraic sum of the last point and all deviations since.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;CUSTOMER &amp;amp; SUPPLIER REQUIREMENTS WORKSHEET &lt;/b&gt;An information gathering tool to use with any work activity. It breaks down a job into its component parts: Customer Requirements and Supplier Requirements.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Customer Satisfaction Index&lt;/b&gt; (American)Introduced in 1994 by &lt;st1:place st="on"&gt;&lt;st1:placetype st="on"&gt;University&lt;/st1:placetype&gt;  of &lt;st1:placename st="on"&gt;Michigan&lt;/st1:placename&gt;&lt;/st1:place&gt; and American Society for Quality CSI measures customer satisfaction at national level. CSI has been on a continual decline from 1994 through 1997 suggesting that quality improvements are not keeping pace with consumer expectations.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Customer&lt;/b&gt; The receiver of an output of a process, either internal or external to the organization. Can be a person, department, company, etc.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;CUTOFF POINT &lt;/b&gt;The point which partitions the acceptance region from the reject region.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cycle time:&lt;/b&gt; The time that elapses from the beginning to the end of a process or sub-process.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cyclic redundancy&lt;/b&gt; [check] code (CRC)A technique for error detection in data communications used to assure a program or data file has been accurately transferred. The CRC is the result of a calculation on the set of transmitted bits by the transmitter which is appended to the data. At the receiver the calculation is repeated and the results compared to the encoded value. The calculations are chosen to optimize error detection. Contrast with check summation, parity check.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Cyclomatic complexity&lt;/b&gt;(1) (McCabe) The number of independent paths through a program. (2) (NBS) The&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;cyclomatic complexity of a program is equivalent to the number of decision statements plus 1.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;    &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;/span&gt;&lt;/b&gt;&lt;span style=";font-family:Georgia;font-size:9;color:gray;"   &gt;&lt;span style=""&gt; &lt;/span&gt;&lt;br /&gt;&lt;/span&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;D&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;DATA&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Factual information used as a basis for reasoning, discussion, or calculation; often refers to quantitative information.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Data analysis&lt;/b&gt; (IEEE) (1) Evaluation of the description and intended use of each data item in the software design to ensure the structure and intended use will not result in a hazard. Data structures are assessed for data dependencies that circumvent isolation, partitioning, data aliasing, and fault containment issues affecting safety, and the control or mitigation of hazards. (2) Evaluation of the data structure and usage in the code to ensure each is defined and used properly by the program. Usually performed in conjunction with logic analysis.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Data Collection&lt;/b&gt; Gathering facts on how a process works and/or how a process is working from a customer's point of view. All data collection is driven by a knowledge of the process and guided by statistical principles.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Data corruption&lt;/b&gt; (ISO) A violation of data integrity. Syn: data contamination.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Data dictionary &lt;/b&gt;(IEEE) (1) A collection of the names of all data items used in a software system, together with relevant properties of those items; e.g., length of data item, representation, etc. (2) A set of definitions of data flows, data elements, files, data bases, and processes referred to in a leveled data flow diagram set.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Data flow analysis&lt;/b&gt; (IEEE) A software V&amp;amp;V task to ensure that the input and output data and their formats are properly defined, and that the data flows are correct.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Data flow diagram &lt;/b&gt;(IEEE) A diagram that depicts data sources, data sinks, data storage, and processes performed on data as nodes, and logical flow of data as links between the nodes. Syn: data flowchart, data flow graph.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Data integrity&lt;/b&gt; (IEEE) The degree to which a collection of data is complete, consistent, and accurate. Syn: data quality.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Data validation&lt;/b&gt;(1) (ISO) A process used to determine if data are inaccurate, incomplete, or unreasonable. The process may include format checks, completeness checks, check key tests, reasonableness checks and limit checks. (2) The checking of data for correctness or compliance with applicable standards, rules, and conventions.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DCP &lt;/b&gt;Dynamic Control Plan/Dimensional Control Plan.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Dead code&lt;/b&gt; Program code statements which can never execute during program operation. Such code can result from poor coding style, or can be an artifact of previous versions or debugging efforts. Dead code can be confusing, and is a potential source of erroneous software changes.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Debugging&lt;/b&gt; (Myers) Determining the exact nature and location of a program error, and fixing the error.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Decision coverage&lt;/b&gt; (Myers) A test coverage criteria requiring enough test cases such that each decision has a true and false result at least once, and that each statement is executed at least once. Syn: branch coverage. Contrast with condition coverage, multiple condition coverage, path coverage, statement coverage.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Decision matrix &lt;/b&gt;A tool used to evaluate problems, solutions, or ideas. The possibilities are listed down the left-hand side of the matrix and relevant criteria are listed across the top. Each possibility is then rated on a numeric scale of importance or effectiveness (e.g. on a scale of 1 to 10) for each criterion, and each rating is recorded in the appropriate box. When all ratings are complete, the scores for each possibility are added to determine which has the highest overall rating and thus deserves the greatest attention.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Decision table&lt;/b&gt; (IEEE) A table used to show sets of conditions and the actions resulting from them.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Defect&lt;/b&gt; An error in construction of a product or service that renders it unusable; an error that causes a product or service to not meet requirements.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DEFECT FREE&lt;/b&gt; A personal performance standard that says specifications should be met every time. An attitude that displays personal commitment to doing the job right the first time, every time.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Defect &lt;/b&gt;Nonconformance to requirements. See: anomaly, bug, error, exception, fault. defect analysis. See: failure analysis.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DEGREES OF FREEDOM&lt;/b&gt; The number of independent measurements available for estimating a population parameter&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Deming cycle&lt;/b&gt; Alternate name for the Plan-Do-Check-Act cycle, a four-stage approach to problem-solving. It is also sometimes called the Shewhart cycle.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Deming Cycle&lt;/b&gt; Plan Do Study Act also Shewhart cycle&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Deming, W. Edwards &lt;/b&gt;Known as the father of quality control. Deming began his work in quality control in the &lt;st1:country-region st="on"&gt;&lt;st1:place st="on"&gt;United States&lt;/st1:place&gt;&lt;/st1:country-region&gt; during World War II to aid the war effort. After the war, he went to &lt;st1:country-region st="on"&gt;&lt;st1:place st="on"&gt;Japan&lt;/st1:place&gt;&lt;/st1:country-region&gt; to help in the rebuilding of their country. His methods of quality control became an integral part of Japanese industry. Deming is a celebrated author and is well-known for his "14 Points" for effective management.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DENSITY FUNCTION &lt;/b&gt;The function which yields the probability that a particular random variable takes on any one of its possible values.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DEPENDENT VARIABLE&lt;/b&gt; A Response Variable; e.g., y is the dependent or "Response" variable where Y=f (Xl. . . XN) variable.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Design for Manufacturability and Assembly&lt;/b&gt; A simultaneous engineering process designed to optimize the relationship between design function, manufacturability, and ease of assembly.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Design Information Checklist&lt;/b&gt; A mistake proofing checklist designed to assure that all important items were considered in establishing design requirements.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Design phase&lt;/b&gt; (IEEE) The period of time in the software life cycle during which the designs for architecture, software components, interfaces, and data are created, documented, and verified to satisfy requirements.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Design Reviews&lt;/b&gt; A proactive process to prevent problems and misunderstandings.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Design specification &lt;/b&gt;(NIST) A specification that documents how a system is to be built. It typically includes system or component structure, algorithms, control logic, data structures, data set [file] use information, input/output formats, interface descriptions, etc Contrast with design standards, requirement. See: software design description.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Design Validation &lt;/b&gt;Testing to ensure that product conforms to defined user needs and/or requirements. Design validation follows successful design verification and is normally performed on the final product under defined, operating conditions. Multiple validations may be performed if there are different intended uses.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Design Verification&lt;/b&gt; Testing to ensure that all design outputs meet design input requirements. Design verification may include activities such as: Design Review, Performing Alternate Calculations, Understanding Tests &amp;amp; Demonstrations and Review of Design Stage Documents Before Release.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Development methodology&lt;/b&gt; (ANSI) A systematic approach to software creation that defines development phases and specifies the activities, products, verification procedures, and completion criteria for each phase. See: incremental development, rapid prototyping, spiral model, waterfall model.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DFA&lt;/b&gt; Design For Assembly&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DFM&lt;/b&gt; Design For Manufacturing&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DFMEA&lt;/b&gt; Design Failure Mode Effects Analysis: An analytical technique used to assure that potential design failure modes and associated causes have been considered and addressed. [See FMEA, PFMEA]&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Diagnostic journey/Remedial journey &lt;/b&gt;A problem-solving approach in which a problem is investigated by looking first at symptoms, and gradually working back towards root causes. Once root causes have been established, experimentation and tracking are used in the remedial journey - the finding of a cure for the roots of the problem.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Diagnostic&lt;/b&gt; (IEEE) Pertaining to the detection and isolation of faults or failures. For example, a diagnostic message, a diagnostic manual.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Discounted Cash Flow &lt;/b&gt;A method of performing an economic analysis that takes the time value of money into account. Used to remove interest rates and inflation factors from a calculation so that the results of analysis are comparable.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DISCRETE RANDOM VARIABLE&lt;/b&gt; A random variable which can assume values only from a definite number of discrete values.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DISTRIBUTIONS&lt;/b&gt; Tendency of large numbers of observations to group themselves around some central value with a certain amount of variation or "scatter" on either side&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Documentation Material &lt;/b&gt;defining the process to be followed (e.g, quality manual, operator instructions, graphics, pictorials).&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DOE&lt;/b&gt; (Design of experiments) DOE is the science of designing sets of experiments which will generate enough useful data to make sound decisions without costing too much or taking too long.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;DPU&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; defects per unit&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;DPMO&lt;/b&gt; defects per million opportunities&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Durability&lt;/b&gt; The probability that an item will continue to function at customer expectation levels, at the useful life without requiring overhaul or rebuild due to wear out.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;Dynamic analysis&lt;/b&gt; (NBS) Analysis that is performed by executing the program code. Contrast with static analysis. See: testing&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;br /&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt; &lt;/span&gt;&lt;/b&gt;&lt;span style=";font-family:Georgia;font-size:9;color:gray;"   &gt;&lt;span style=""&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;E&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Effectiveness&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The state of having produced a decided or desired effect; the state of achieving customer satisfaction&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Efficiency &lt;/b&gt;A measure of performance that compares output with cost or resource utilization&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Embedded software&lt;/b&gt; (IEEE) Software that is part of a larger system and performs some of the requirements of that system; e,g., software used in an aircraft or rapid transit system. Such software does not provide an interface with the user. See: firmware,&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Employee involvement&lt;/b&gt; Regular participation of employees in decision-making and suggestions. The driving forces behind increasing the involvement of employees are the conviction that more brains are better, that people in the process know it best, and that involved employees will be more motivated to do what is best for the organization.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Empowerment&lt;/b&gt; Usually refers to giving employees decision-making and problem-solving authority within their jobs.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;End user&lt;/b&gt; (ANSI) (1) A person, device, program, or computer system that uses an information system for the purpose of data processing in information exchange. (2) A person whose occupation requires the use of an information system but does not require any knowledge of computers or computer programming. See: user.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Entity relationship diagram&lt;/b&gt; (IEEE) A diagram that depicts a set of real-world entities and the logical relationships among them. See: data structure diagram.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Entity&lt;/b&gt; The representation of a set of real or abstract things (people, objects, places, events, ideas, combination of things, etc.) that are recognized as the same type because they share the same characteristics and can participate in the same relationships.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Environmen&lt;/b&gt;t all of the process conditions surrounding or affecting the manufacture and quality of a part or product.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Environment&lt;/b&gt; (ANSI) (1) Everything that supports a system or the performance of a function. (2) The conditions that affect the performance of a system or function.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Equivalence class partitioning &lt;/b&gt;(Myers) Partitioning the input domain of a program into a finite number of classes [sets], to identify a minimal set of well selected test cases to represent these classes. There are two types of input equivalence classes, valid and invalid. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Error &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;(ISO) A discrepancy between a computed, observed, or measured value or condition and the true, specified, or theoretically correct value or condition. See: anomaly, bug, defect, exception, fault.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Error analysis &lt;/b&gt;See: debugging, failure analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Error detection &lt;/b&gt;Techniques used to identify errors in data transfers. See: check summation, cyclic redundancy check [CRC], parity check, longitudinal redundancy.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Error guessing&lt;/b&gt; (NBS) Test data selection technique. The selection is to pick values that are likely to cause errors.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Error seeding&lt;/b&gt; (IEEE) The process of intentionally adding known faults to those already in a computer program for the purpose of monitoring the rate of detection and removal, and estimating the number of faults remaining in the program. Contrast with mutation analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Event &lt;/b&gt;A happening, the arrival of a significant point in time, a change in status of something or the occurrence of something external that causes the business to react.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Event table &lt;/b&gt;A table which lists events and the corresponding specified effect[s] of or reaction[s] to each event.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Exception conditions/responses table&lt;/b&gt; A special type of event table.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Exception &lt;/b&gt;(IEEE) An event that causes suspension of normal program execution. Types include addressing exception, data exception, operation exception, overflow exception, protection exception, underflow exception.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Execution trace&lt;/b&gt; (IEEE) A record of the sequence of instructions executed during the execution of a computer program. Often takes the form of a list of code labels encountered as the program executes. Syn: code trace, control flow trace. See: retrospective trace, subroutine trace, symbolic trace, variable trace.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;EXECUTIVE OVERVIEW&lt;/b&gt; The course that teaches key executives their role in the Quality Process.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Expectations&lt;/b&gt; Customer perceptions about how a product or service will meet their needs and requirements; expectations for a product or service are shaped by many factors; including the specific use the customer intends to make of it, prior experience with a similar product or service and representations and commitments made by marketing and advertising.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;EXPERIMENT&lt;/b&gt; A test under defined conditions to determine an unknown effect; to illustrate or verify a known law; to test or establish a hypothesis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;EXPERIMENTAL ERROR &lt;/b&gt;Variation in observations made under identical test conditions. Also called residual error. The amount of variation which cannot be attributed to the variables included in the experiment.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;External customer&lt;/b&gt; A person or organization outside your organization who receives the output of a process. Of all external customers, the end-user should be the most important.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;External test data&lt;/b&gt; (NBS) Test data that is at the extreme or boundary of the domain of an input variable or which produces results at the boundary of an output domain. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;F&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Facilitator&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Person who helps a team with issues of teamwork, communication, and problem-solving. A facilitator should not contribute to the actual content of the team's project, focusing instead as an observer of the team's functioning as a group.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Factorial Design&lt;/b&gt; Factorial design are generally employed in engineering and manufacturing experiments. It is appropriate when several factors are to be investigated at two or more levels and interaction of factors may be important. Also see Design of Experiments.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FACTORS&lt;/b&gt; Independent variables.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Fail-safe &lt;/b&gt;(IEEE) A system or component that automatically places itself in a safe operational mode in the event of a failure,&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Failure analysis&lt;/b&gt; Determining the exact nature and location of a program error in order to fix the error, to identify and fix other similar errors, and to initiate corrective action to prevent future occurrences of this type of error. Contrast with debugging.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Failure Mode Effects Analysis&lt;/b&gt; A technique that systematically analyzes the types of failures which will be expected as a product is used, and what the effects of each "failure mode" will be.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Failure Modes and Effects Analysis&lt;/b&gt; (IEC) A method of reliability analysis intended to identify failures, at the basic component level, which have significant consequences affecting the system performance in the application considered.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Failure Modes and Effects Criticality Analysis&lt;/b&gt; (IEC) A logical extension of FMEA which analyzes the severity of the consequences of failure&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Failure&lt;/b&gt; (IEEE) The inability of a system or component to perform its required functions within specified performance requirements. See: bug, crash, exception, fault.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Fault &lt;/b&gt;An incorrect step, process, or data definition in a computer program which causes the program to perform in an unintended or unanticipated manner. See: anomaly, bug, defect, error, exception.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Fault Tree Analysis &lt;/b&gt;(IEC) The identification and analysis of conditions and factors which cause or contribute to the occurrence of a defined undesirable event, usually one which significantly affects system performance, economy, safety or other required characteristics.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FEA&lt;/b&gt; Finite Element Analysis&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Feasibility study&lt;/b&gt; Analysis of the known or anticipated need for a product, system, or component to assess the degree to which the requirements, designs, or plans can be implemented.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Finite Element Analysis&lt;/b&gt; A technique for modeling a complex structure. When the mathematical model is subjected to known loads, the displacement of the structure may be determined.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FISHBONE DIAGRAM&lt;/b&gt; Also known as a Cause and Effect Analysis Diagram, used by a problem solving team during brainstorming to logically list and display known and potential causes to a problem. Analysis of the listed causes is done to identify root causes.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Fixed Cost&lt;/b&gt; A cost that does not vary with the amount or degree of production. The costs that remain if an activity or process stops.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FIXED EFFECTS MODEL &lt;/b&gt;Experimental treatments are specifically selected by the researcher. Conclusions only apply to the factor levels considered in the analysis. Inferences are restricted to the experimental levels.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FIXING&lt;/b&gt; Temporary actions taken to make the output of a process conform to its specifications.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Flow Chart&lt;/b&gt; is a pictorial representation showing all of the steps of a process.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Flowchart &lt;/b&gt;A graphical representation of a given process delineating each step. It is used to diagram how the process actually functions and where waste, error, and frustration enter the process.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Flowchart&lt;/b&gt; lists the order of activities. The circle symbol indicates the beginning or end of the process. The box indicates action items and the diamond indicates decision points. A beneficial technique is to map the ideal process and the actual process and identify the differences as targets for improvements.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Flowchart or flow diagram&lt;/b&gt; (2) (ISO) A graphical representation in which symbols are used to represent such things as operations, data, flow direction, and equipment, for the definition, analysis, or solution of a problem. (2) (IEEE) A control flow diagram in which suitably annotated geometrical figures are used to represent operations, data, or equipment, and arrows are used to indicate the sequential flow from one to another. Syn: flow diagram. See: block diagram, box diagram, bubble chart, graph, input-process-output chart, structure chart.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FLUCTUATIONS&lt;/b&gt; Variances in data, which are caused by a large number of, minute variations or differences&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FMA&lt;/b&gt; Failure Mode Analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FMEA&lt;/b&gt; Failure Mode and Effects Analysis&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FMEA&lt;/b&gt; Failure Mode Effects Analysis: An analytical technique used to assure that potential failure modes and associated causes have been considered and addressed.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Force Field Analysis&lt;/b&gt; A tool, developed by social psychologist Kurt Lewin, which is used to analyze the opposing forces involved in causing/resisting any change. It is shown in balance sheet format with forces that will help (driving forces) listed on the left and forces that hinder (restraining forces) listed on the right.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Formal qualification review&lt;/b&gt; (IEEE) The test, inspection, or analytical process by which a group of configuration items comprising a system is verified to have met specific contractual performance requirements. Contrast with code review, design review, requirements review, test readiness review.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FREQUENCY DISTRIBUTION&lt;/b&gt; The pattern or shape formed by the group of measurements in a distribution&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Frequency distribution&lt;/b&gt; An organization of data, usually in a chart, which depicts how often an different events occur. A histogram is one common type of frequency distribution, and a frequency polygon is another.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;FTC&lt;/b&gt; First Time Capability.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Function&lt;/b&gt; A specific set of skills and resources that can be used to perform one or more activities that make up a process. Usually several functions are associated with a single process.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Functional configuration audit &lt;/b&gt;(IEEE) An audit conducted to verify that the development of a configuration item has been completed satisfactorily, that the item has achieved the performance and functional characteristics specified in the functional or allocated configuration identification, and that its operational and support documents are complete and satisfactory. See: physical configuration audit.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Functional design&lt;/b&gt; (IEEE) (1) The process of defining the working relationships among the components of a system. See: architectural design. (2) The result of the process in (1).&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Functional Economic Analysis&lt;/b&gt; (FEA) A technique for analyzing and evaluating alternative information system investments and management practices. Within DoD, FEA is a business case. Also, a document that contains a fully justified proposed improvement project with all supporting data.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Functional Process Improvement &lt;/b&gt;A structured approach by all or part of an enterprise to improve the value of its products and services while reducing resource requirements. Also referred to as business process improvement (BPI), business process redesign, and business reengineering.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Functional requirement&lt;/b&gt; (IEEE) A requirement that specifies a function that a system or system component must be able to perform.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Functional Verification &lt;/b&gt;Functional Verification is testing to ensure the part conforms to all customer and supplier engineering performance and material requirements. Functional verification (to applicable customer engineering material and performance standards) may be required by some customers annually unless another frequency is established in a customer approval control plan. Results shall be available for customer review upon request. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;G&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Gage R&amp;amp;R&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Gage Repeatability &amp;amp; Reproducibility&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Gantt chart&lt;/b&gt; A bar chart that shows planned work and finished work in relation to time. Each task in a list has a bar corresponding to it. The length of the bar is used to indicate the expected or actual duration of the task.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Grade&lt;/b&gt; An indicator of category or rank related to features or characteristics that cover different sets of needs for products or services intended for the same functional use.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Graph &lt;/b&gt;(IEEE) A diagram or other representation consisting of a finite set of nodes and internode connections called edges or arcs. Contrast with blueprint. See: block diagram, box diagram, bubble chart, call graph, cause-effect graph, control flow diagram, data flow diagram, directed graph, flowchart, input-process-output chart, structure chart, transaction flowgraph.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Graphic software specifications &lt;/b&gt;Documents such as charts, diagrams, graphs which depict program structure,, states of data, control, transaction flow, HIPO, and cause-effect relationships; and tables including truth, decision, event, state-transition, module interface, exception conditions/responses necessary to establish design integrity.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Green Belt&lt;/b&gt; An individual who supports the implementation and application of Six Sigma tools by way of participation on project teams&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;H&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Hazard analysis&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A technique used to identify conceivable failures affecting system performance, human safety or other required characteristics. See: FMEA, FMECA, FTA, software hazard analysis, software safety requirements analysis, software safety design analysis, software safety code analysis, software safety test analysis, software safety change analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Hazard probability&lt;/b&gt; (DOD) The aggregate probability of occurrence of the individual events that create a specific hazard.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Hazard severity&lt;/b&gt; (DOD) An assessment of the consequence of the worst credible mishap that could be caused by a specific hazard.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Hazard&lt;/b&gt; (DOD) A condition that is prerequisite to a mishap.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Histogram&lt;/b&gt; A specialized bar chart showing the distribution of measurement data. It will pictorially reveal the amount and type of variation within a process.&lt;b style=""&gt; &lt;/b&gt;It is a bar chart showing a distribution of variables. An example would be to line up by height a group of people in a course. Normally one would be the tallest and one would be the shortest and there would be a cluster of people around an average height. Hence the phrase "normal distribution". This tool helps identify the cause of problems in a process by the shape of the distribution as well as the width of the distribution.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Homogenity of Variance &lt;/b&gt;The variances of the groups being contrasted are equal (as defined by statistical test of significant difference).&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Hoshin kanri&lt;/b&gt; Japanese term for hoshin planning, a form of interactive strategic planning which aids the flow of information up and down the organizational layers in a systematic, productive way.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Hoshin planning &lt;/b&gt;A method of strategic planning for quality. It helps executives integrate quality improvement into the organization's long-range plan. It is a method used to ensure that the mission, vision, goals, and annual objectives of an organization are communicated to and implemented by everyone, from the executive level to the 'front line' level."&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;        &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;br /&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;I&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Inspection&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A manual testing technique in which program documents [specifications (requirements, design, source code or user's manuals are examined in a very formal and disciplined manner to discover errors, violations of standards and other problems. Checklists are a typical vehicle used in accomplishing this technique. See: static analysis, code audit, code inspection, code review, code walkthrough.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Inspection Activities&lt;/b&gt;, such as measuring, examining, testing, gaging one or more characteristics of a product or service, and comparing these with specified requirements to determine conformity.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Instability&lt;/b&gt; Unnaturally large fluctuations in a pattern.&lt;br /&gt;installation and checkout phase (IEEE) The period of time in the software life cycle during which a software product is integrated into its operational environment and tested in this environment to ensure that it performs as required.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Instruction set&lt;/b&gt; (1) (IEEE) The complete set of instructions recognized by a given computer or provided by a given programming language. (2) (ISO) The set of the instructions of a computer, of a programming language, or of the programming languages in a programming system. See: computer instruction set.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Instruction&lt;/b&gt; (1) (ANSI/IEEE) A program statement that causes a computer to perform a particular operation or set of operations. (2) (ISO) In a programming language, a meaningful expression that specifies one operation and identifies its operands, if any.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Instrumentation&lt;/b&gt; (NIBS) The insertion of additional code into a program in order to collect information about program behavior during program execution. Useful for dynamic analysis techniques such as assertion checking, coverage analysis, tuning.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Interface analysis&lt;/b&gt; (IEEE) Evaluation of: (1) software requirements specifications with hardware, user, operator, and software interface requirements documentation, (2) software design description records with hardware, operator, and software interface requirements specifications, (3) source code with hardware, operator, and software interface design documentation, for correctness, consistency, completeness, accuracy, and readability. Entities to evaluate include data items and control items.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Interface requirement&lt;/b&gt; (IEEE) A requirement that specifies an external item with which a system or system component must interact, or sets forth constraints on formats, timing, or other factors caused by such an interaction.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Interface &lt;/b&gt;(1) (ISO) A shared boundary between two functional units, defined by functional characteristics, common physical interconnection characteristics, signal characteristics, and other characteristics, as appropriate The concept involves the specification of the connection of two devices having different functions. (2) A point of communication between two or more processes, persons, or other physical entities. (3) A peripheral device which permits two or more devices to communicate.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Interim Approval Permits&lt;/b&gt; shipment of products for a specified time period or quantity.&lt;br /&gt;Internal customer Someone within your organization, further downstream in a process, who receives the output of your work.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Interrelations Digraph &lt;/b&gt;is a graphical representation of all the factors in a complicated problem, system, or situation. It is typically used in conjunction with one of the other quality tools, particularly the affinity diagram. Frequently the header cards from the affinity diagram are used as the starting point for the interrelations digraph.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Interval&lt;/b&gt; Numeric categories with equal units of measure but no absolute zero point, i.e., quality scale or index.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Invalid inputs &lt;/b&gt;1 (NBS) Test data that lie outside the domain of the function the program represents. (2) These are not only inputs outside the valid range for data to be input, i.e., when the specified input range is 50 to 100, but also unexpected inputs, especially when these unexpected inputs may easily occur; e,g., the entry of alpha characters or special keyboard characters when only numeric data is valid, or the input of abnormal command sequences to a program.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Ishikawa Diagram&lt;/b&gt; A problem-solving tool that uses a graphic description of the various process elements to analyze potential sources of variation , or problems. [Same as Cause and Effect Diagram,,, or Fishbone Diagram]&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Ishikawa&lt;/b&gt;, Kaoru One of Japan's quality control pioneers. He developed the cause &amp;amp; effect diagram (Ishikawa diagram) in 1943 and published many books addressing quality control. In addition to his work at &lt;st1:city st="on"&gt;Kawasaki&lt;/st1:city&gt;, Ishikawa was a long-standing member of the Union of Japanese Scientists and Engineers and an assistant professor at the &lt;st1:place st="on"&gt;&lt;st1:placetype st="on"&gt;University&lt;/st1:placetype&gt; of &lt;st1:placename st="on"&gt;Tokyo&lt;/st1:placename&gt;&lt;/st1:place&gt;.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;ISIR&lt;/b&gt; Initial Sample Inspection Report&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;ISO 9000 &lt;/b&gt;A family of ISO standards that apply to quality management and quality assurance . Specifically, quality systems.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;J&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;JIT&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Just-In-Time: An inventory control system where components/products and services are delivered to the customer only when needed.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Job control language.&lt;/b&gt; (IEEE) A language used to identify a sequence of jobs, describe their requirements to an operating system, and control their execution.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Job&lt;/b&gt;. (IEEE) A user-defined unit of work that is to be accomplished by a computer. For example, the compilation, loading, and execution of a computer program. See: job control language.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Juran,&lt;/b&gt; Joseph M. One of the quality gurus, and, like Deming, an early student of the work of Walter Shewhart at Western Electric. His work has specialized in linking management to quality engineering. Dr. Juran is the founder of the Juran Institute which has long been the vehicle of his work in quality management and is well-known for espousing "the quality trilogy" of quality planning, quality control, and quality improvement. Juran has authored many books and other works in an effort to spread awareness of quality management ideas and applications.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Just in time&lt;/b&gt; A policy calling for the delivery of material, products or services at the time they are needed in an activity or process to reduce inventory, wait time and spoilage.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Just-in-time instruction&lt;/b&gt; Training given as needed for immediate application, without lag time and the usual loss of retention.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;K&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Kaizen &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;Taken from the Japanese words kai and zen where kai means change and zen means good. The popular meaning is continuous improvement of all areas of a company not just quality.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Key Performance Indicators&lt;/b&gt; KPI refers to the short list of measurable parameters that will indicate how well the business is doing at attaining its goals. In a manufacturing quality scenario, this may be the amount of scrap or rework that gets metered. In a service quality scenario, such as an insurance company, this may be the open inventory of unprocessed claims. In brand management, market share in itself and in comparison with competing brands is sure to be relevant. In logistics, on time deliveries, empty return loads, or missing items are candidate indicators.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;KJ method&lt;/b&gt; Another name for the affinity diagram, after its inventor, Kawakita Jiro.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Knowledge Management&lt;/b&gt; The leveraging of collective wisdom to increase responsiveness and innovation.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;    &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;br /&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;L&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Life cycle methodology. &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;The use of any one of several structured methods to plan, design, implement, test. and operate a system from its conception to the termination of its us. See: waterfall model.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Line Charts&lt;/b&gt; Charts used to track the performance without relationship to process capability or control limits.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Logic analysis&lt;/b&gt;. (IEEE) Evaluates the safety-critical equations, algorithms, and control logic of the software design. (2) Evaluates the sequence of operations represented by the coded program and detects programming errors that might create hazards.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Lower Control Limit&lt;/b&gt; A horizontal dotted line plotted on a control chart which represents the lower process limit capabilities of a process. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;M&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Maintainability&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; The probability that a failed system can be made operable in a specified interval or downtime.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Maintainability&lt;/b&gt;. (IEEE) The ease with which a software system or component can be modified to correct faults, improve performance or other attributes, or adapt to a changed environment. Syn: modifiability&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Maintenance&lt;/b&gt;. (QA) Activities such as adjusting, cleaning, modifying, overhauling equipment to assure performance in accordance with requirements. Maintenance to a software system includes correcting software errors, adapting software to a new environment, or making enhancements to software See: adaptive maintenance, corrective maintenance, preventive maintenance.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Management Systems &lt;/b&gt;Software tools for supporting the modeling, analysis, and enactment of business processes.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Master Black Belt &lt;/b&gt;A teacher and mentor of Black Belts. Provides support, reviews projects, and undertakes larger scale projects.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Matrix Analysis&lt;/b&gt; method quantifies and arranges matrix diagram data so that the information is easy to visualize and comprehend. The relationships between the elements shown in a matrix diagram are quantified by obtaining numerical data for intersection cells. Of the seven new QC tools, this is the only numerical analysis method. The results of this technique, however, are presented in diagram form. ... One major technique that this method also utilizes is known as principal components analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Matrix Diagra&lt;/b&gt;m method clarifies problematic spots through multidimensional thinking. ... The matrix diagram method identifies corresponding elements involved in a problem situation or event. These elements are arranged in rows and columns on a chart that shows the presence or absence of relationships among collected pairs of elements. ... Effective problem solving is facilitated at the intersection points, also referred to as the idea conception points. ... Matrix diagram are classified on the basis of their pattern into five groups: (1) the L type matrix, (2) the T type matrix, (3) the Y type matrix, (4) the X type matrix, and (5) the C type matrix.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;MBNA&lt;/b&gt; Malcolm Baldrige National Quality Award: An annual award given to a &lt;st1:country-region st="on"&gt;&lt;st1:place st="on"&gt;United States&lt;/st1:place&gt;&lt;/st1:country-region&gt; company that excels in quality management and quality achievement. [Same as Baldrige Award.]&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;MBTI&lt;/b&gt; Myers Briggs Type Indicator&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Measurement&lt;/b&gt; The assignment of numbers to actions or events.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Mean&lt;/b&gt; The average of a group of measurement values. Mean is determined by dividing the sum of the values by the number of values in the group.&lt;br /&gt;mean time between failures. A measure of there liability of a computer system, equal to average operating time of equipment between failures, as calculated on a statistical basis from the known failure rates of various components of the system.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Mean time to failure (MTF)&lt;/b&gt;. A measure of reliability, giving the average time before the first failure.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Mean time to repair (MTR)&lt;/b&gt;. A measure of reliability of a piece of repairable equipment, giving the average time between repairs.&lt;br /&gt;measurable. Capable of being measured.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Measure&lt;/b&gt;. (IEEE) A quantitative assessment of the degree to which a software product or process possesses a given attribute.&lt;br /&gt;measurement. The process of determining the value of some quantity in terms of a standard unit.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Median &lt;/b&gt;The middle of a group of measurement values when arranged in numerical order. For example, in the group (32, 45, 78, 79, 101), 78 is the median. If the group contains an even number of values, the median is the average of the two middle values.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Metric&lt;/b&gt;, software quality. (IEEE) A quantitative measure of the degree to which software possesses a given attribute which affects its quality.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;&lt;st1:place st="on"&gt;Mission&lt;/st1:place&gt; statement&lt;/b&gt; A written declaration of the purpose of an organization or project team. Organizational mission or vision statements often include an organizational vision for the future, goals, and values. &lt;st1:city st="on"&gt;&lt;st1:place st="on"&gt;Mission&lt;/st1:place&gt;&lt;/st1:city&gt; describes the activities for achieving the Vision. The &lt;st1:city st="on"&gt;&lt;st1:place st="on"&gt;Mission&lt;/st1:place&gt;&lt;/st1:city&gt; is the cause and the Vision the effect. The &lt;st1:place st="on"&gt;Mission&lt;/st1:place&gt; statement may also contain verb (design, train, maintain, etc.) + object (system, strategy, etc.) + target value (how much, #, %, etc. This is optional) + time limit (should be same time frame as Vision)&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Mode&lt;/b&gt; The most frequently occurring value in a group of measurements&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;MSA&lt;/b&gt; Measurement System Analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;MTBF&lt;/b&gt; Mean Time Between Failure&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;MTTF&lt;/b&gt;. mean time to failure.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;MTTR&lt;/b&gt;. mean time to repair.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Multiple condition coverage&lt;/b&gt;. (Myers) A test coverage criteria which requires enough test cases such that all possible combinations of conditions outcomes in each decision, and all points of entry, are invoked at least once. Contrast with branch coverage, condition, decision coverage, path coverage, path coverage, statement coverage.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Mutation analysis&lt;/b&gt;. (NBS) A method to determine test set thoroughness by measuring the extent to which a test set can discriminate the program from slight variants [mutants] of the program&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;N&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;NCR&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Non Conformance Report&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Noise&lt;/b&gt; In the context of quality management, noise is essentially variability. For example, if you are making ketchup, noise in the process comes from variations in the quality of incoming tomatoes, in changes in ambient temperature and humidity, in variations in machinery performance, in variations in the quality of human factors, etc.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Nominal&lt;/b&gt; Unordered categories which indicate membership or non membership with no implication of quantity, i.e., assembly area number one, part numbers, etc.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Nominal group technique &lt;/b&gt;Technique used to encourage creative thinking and new ideas, but is more controlled than brainstorming. Each member of a group writes down his or her ideas and then contributes one to the group pool. All contributed ideas are then discussed and prioritized.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Non Value Added Activity&lt;/b&gt; An activity performed in a process that does not add value to the output product or service, which may or may not have a valid business reason for being performed.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Non-Conformance &lt;/b&gt;Product or material which does not conform to the customer specifications and/or requirements. Sometimes used interchangeably with non-conformity.&lt;br /&gt;Non-Conforming Product Product which does not conform to the customer specifications and/or requirements. Same as Non-Conformance.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Non-Conformity&lt;/b&gt; Nonfulfilment of a specified requirement. Sometimes used interchangeably with non-conformance.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Non-critical code analysi&lt;/b&gt;s .(IEEE) (1) Examines software elements that are not designated safety-critical and ensures that these elements do not cause a hazard. (2) Examines portions of the code that are not considered safety-critical code to ensure they do not cause hazards. Generally, safety-critical code should be isolated from non-safety-critical code. This analysis is to show this isolation is complete and that interfaces between safety-critical code and non-safety-critical code do not create hazards.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;NORMAL DISTRIBUTION&lt;/b&gt; A continuous, symmetrical density function characterized by a bell shaped curve, e.g., distribution of sampling averages.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;np chart&lt;/b&gt; A control chart indicating the number of defective units in a given sample.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Null hypothesis&lt;/b&gt; is typically a hypothesis of no difference. That is why the word "null" in "null hypothesis" is used -- it is the hypothesis of no difference. Despite the "null" in "null hypothesis," there are occasions when the parameter is not hypothesized to be 0. For example the null hypothesis may be that the parameter is equal to a specific value.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;O&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Object oriented programming&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;. A technology for writing programs that are made up of self sufficient modules that contain all of the information needed to manipulate a given data structure. The modules are created in class hierarchies so that the code or methods of a class can be passed to other modules. New object modules can be easily created by inheriting the characteristics of existing classes. See: object, object oriented design.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Ongoing Process Capability&lt;/b&gt; Ongoing Process Capability is a long term measure of statistical process control or process performance. It differs from preliminary process capability by utilizing data from a longer time period so as to include all common causes of variation, in particular, those common causes that may result in process shifts affecting a number of sample intervals. Systematic or repetitive patterns of special cause may also be included if the underlying reasons for these special causes are understood. The time required for ongoing capability evaluation depend on the time required for the sources of variation to vary throughout their full ranges, but will typically be three to six months.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;On-line&lt;/b&gt;. (IEEE) Pertaining to a system or mode of operation in which input data enter the computer directly from the point of origin or output data are transmitted directly to the point where they are used. For example, an airline reservation system. Contrast with batch. See: conversational, interactive, real time.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Operation and maintenance phase&lt;/b&gt;. (IEEE) The period of time in the software life cycle during which a software product is employed in its operational environment, monitored for satisfactory performance, and modified as necessary to correct problems or to respond to changing requirements.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Operation exception&lt;/b&gt;. (IEEE) An exception that occurs when a program encounters an invalid operation code.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Operational Definition&lt;/b&gt; A description in quantifiable terms of what to measure and the steps to follow to consistently measure it.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;ORDINAL &lt;/b&gt;Ordered categories (ranking) with no information about distance between each category, i.e., rank ordering of several measurements of an output parameter&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;ORDINATE &lt;/b&gt;The vertical axis of a graph.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Organization Diagnostics&lt;/b&gt; The process of identifying organization problems with individuals, processes, procedures, technology, culture, etc.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Organize&lt;/b&gt; To arrange by systematic planning.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;OSHA&lt;/b&gt; Occupational Safety and Health Administration&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;OTM&lt;/b&gt; One Time Measure&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;OTP&lt;/b&gt; Outline Test Plan&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Outcome&lt;/b&gt; the degree to which output meets the needs and expectations of the customer&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;OUTPUTS &lt;/b&gt;Products or services provided to others; the result of a process&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;P&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;P Control Chart &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;A control chart that determines the stability of a process by finding what percentage of total units in a sample are defective.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Pareto chart&lt;/b&gt; A bar chart that orders data from the most frequent to the least frequent, allowing the analyst to determine the most important factor in a given situation or process.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Pareto Diagramme&lt;/b&gt; A chart which ranks, or places in order, common occurrences.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Pareto principle&lt;/b&gt; The idea that a few root problems are responsible for the large majority of consequences. The Pareto principle is derived from the work of Vilfredo Pareto, a turn-of-the-century Italian economist who studied the distributions of wealth in different countries. He concluded that a fairly consistent minority about 20% of people controlled the large majority about 80% of a society's wealth. This same distribution has been observed in other areas and has been termed the Pareto principle. It is defined by J.M. Juran as the idea that 80% of all effects are produced by only 20% of the possible causes.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Parts Per Million &lt;/b&gt;(PPM)PPM is a way of stating the performance of a process in terms of actual or projected defective material. PPM data can be used to indicate areas variation requiring attention.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Performance Measure&lt;/b&gt; An indicator that can be used to evaluate quality, cost, or cycle time characteristics of an activity or process usually against a target or standard value.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Performance requirement&lt;/b&gt;. (IEEE) A requirement that imposes conditions on a functional requirement; e.g., a requirement that specifies the speed. accuracy, or memory usage with which a given function must be performed.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;PFMEA&lt;/b&gt; &lt;b style=""&gt;Process Failure Mode Effects Analysis&lt;/b&gt;: An analytical technique used to assure that potential process failure modes and associated causes have been considered and addressed.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Physical requirement.&lt;/b&gt; (IEEE) A requirement that specifies a physical characteristic that a system or system component must posses; e.g., material, shape, size, weight.&lt;br /&gt;Pie chart A chart that compares groups of data to the whole data set by showing each group as a "slice" of the entire "pie." Pie charts are particularly useful for investigating what percentage each group represents.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Plan Do Study Act &lt;/b&gt;(PDSA or PDCA) Originally Shewhart's Plan Do Check Act or the application of the scientific method to engineering and management. Deming later changed Check to Study. A look before you leap approach to standardization or maintenance (Standardize Do Check Act), solving problems and improvement or reactive mode (Check Act Plan Do) and achieving opportunities and new developments or proactive mode (Plan Do Check Act). .&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Plan-Do-Check-Act&lt;/b&gt; (PDCA) cycle A four-step improvement process originally conceived of by Walter A. Shewhart. The first step involves planning for the necessary improvement; the second step is the implementation of the plan; the third step is to check the results of the plan; the last step is to act upon the results of the plan. It is also known as the Shewhart cycle, the Deming cycle, and the PDCA cycle.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Platform.&lt;/b&gt; The hardware and software which must be present and functioning for an application program to run [perform] as intended. A platform includes, but is not limited to the operating system or executive software, communication software, microprocessor. network, input/output hardware, any generic software libraries, database management, user interface software, and the like.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Pokayoke&lt;/b&gt; Japanese approach to mistake proofing. Primarily activities for front line employees empowered to make changes to their work processes to enhance accuracy, safety, and efficiency.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Policy deployment &lt;/b&gt;Another name for hoshin planning.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Population &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;A group of similar items from which a sample is drawn. Often referred to as the universe.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;PPAP&lt;/b&gt; Production Parts Approval Process&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;PPM&lt;/b&gt; Predictive Preventative Maintenance&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Precision&lt;/b&gt; The closeness of agreement between randomly selected individual measurements or test results. Also see Accuracy.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Predictive Maintenance&lt;/b&gt; Maintenance performed on equipment just prior to the predicted breakdown of that equipment.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Preliminary Bill of Material&lt;/b&gt; An initial Bill of Material completed prior to design and print release.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Preliminary Process Capability Studies&lt;/b&gt; Preliminary Process Capability Studies are short term studies conducted to obtain early information on the performance of new or revised processes relative to internal or customer requirements. In many cases, preliminary studies should be conducted at several points in the evolution of new processes (e.g., at the equipment or tooling subcontractor's plant, after installation at the supplier's plant) These studies should be based on as many measurements as possible. When X Bar and R charts, at least twenty subgroups (typically three to five pieces) are required to obtain sufficient data for decision making. When this amount of data is not available, control charts should be started with whatever data is available.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Prevention&lt;/b&gt; The practice of eliminating unwanted variation a priori (before the fact), e.g., predicting a future condition from a control chart and then applying corrective action before the predicted event transpires.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Preventive Action&lt;/b&gt; Action(s) designed to prevent the occurrence of non-conformances, or non-conformities.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Preventive Maintenance&lt;/b&gt; Maintenance performed on equipment, with the intent on prolonging equipment life and/or preventing breakdown and malfunction.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Price of Non Quality&lt;/b&gt; (PONQ) What it costs to do things wrong, resulting in losses such as time, money and opportunity. An equation for estimating PONQ is: the amount of time required to fix a defect x the number of defects x the hourly wage rate (fully burdened with overhead, overtime, benefits, etc.).&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Probability&lt;/b&gt; The chance of something happening; the percent or number of occurrences over a large number of trials.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Probability of an Event&lt;/b&gt; The number of successful events divided by the total number of trials.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Problem &lt;/b&gt;A deviation from a specified standard.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Problem Solving&lt;/b&gt; The process of solving problems; the isolation and control of those conditions which generate or facilitate the creation of undesirable symptoms.&lt;br /&gt;Procedures Documented processes that are used when work affects more than one function or department of an organization.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process &lt;/b&gt;A particular method of doing something, generally involving a number of steps or operations. (2) A series of actions that lead to a desired result; converting inputs into outputs. (3)&lt;b style=""&gt; &lt;/b&gt;A collection of activities that together produce a usable product or service by applying resources from one or more functional areas. (4) Combination of people, equipment, materials, methods, and environment that produce output.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Average &lt;/b&gt;The central tendency of a given process characteristic across a given amount of time or at a specific point in time.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process capability&lt;/b&gt; 1. A statistical measure indicating the inherent variation for a given event in a stable process, usually defined as the process width divided by 6 sigma. 2. Competence of the process, based on tested performance, to achieve certain results.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process capability index&lt;/b&gt; Measurement indicating the ability of a process to produce specified results. Cp and Cpk are two process capability indices.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Comparison&lt;/b&gt; A logical method of questioning that compares the process conditions when a non conforming output was produced with the process conditions when a conforming output was produced.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Control &lt;/b&gt;Operations with a built in finding and adjusting step to keep a product or service in conformance with the specifications.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Control Chart&lt;/b&gt; Any of a number of various types of graphs upon which data are plotted against specific control limits.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Decision Program Chart &lt;/b&gt;PDPC Chart is a method that graphically displays as many alternatives and contingencies that can be determined in advance to strategies for dealing with them can be determined in advance.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Flow Diagram&lt;/b&gt; Depicts the flow of material through the process, including any rework or repair operations.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Model &lt;/b&gt;Also Activity Model A graphic representation of a business process that exhibits the activities and their interdependencies that make up the business process to any desired level of detail. An activity model reveals the interactions between activities in terms of inputs and outputs while showing the controls placed on each activity and the types of resources assigned to each activity.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Portal&lt;/b&gt; Software which focuses the user of the Portal to the explicit knowledge required to solve his/her particular problem, or deal with a particular situation or series of events. Changes Implicit Knowledge to Explicit Knowledge.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Spread&lt;/b&gt; The range of values which a given process characteristic displays; this particular term most often applies to the range but may also encompass the variance. The spread may be based on a set of data collected at a specific point in time or may reflect the variability across a given amount of time.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Process Variation&lt;/b&gt; The variables in a process that affect outcomes. Two types of process variation special cause and common cause.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Producers Risk&lt;/b&gt; Probability of rejecting a lot when, in fact, the lot should have been accepted (see ALPHA RISK).&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Product Assurance Plan&lt;/b&gt; A part of the Product Quality Plan. It is a prevention oriented management tool that addresses product design, process design, and when applicable software design.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Production database&lt;/b&gt;. The computer file that contains the establishment's current production data.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Production Part Approval Submissions&lt;/b&gt; The submissions are based on small quantities of parts taken from a significant production run made with production tooling, processes, and cycle times. Parts for production part approval are checked by the supplier to all engineering requirements.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Production Trial Run&lt;/b&gt; Product made using all production tools, processes, equipment, environment, facility, and cycle time.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Program design language&lt;/b&gt;. (IEEE) A specification language with special constructs and, sometimes, verification protocols, used to develop, analyze, and document a program design.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Program mutation&lt;/b&gt;. (IEEE) A computer program that has been purposely altered from the intended version to evaluate the ability of program test cases to detect the alteration. See: testing, mutation.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Program.&lt;/b&gt;(1) (ISO) A sequence of instructions suitable for processing. Processing may include the use of an assembler, a compiler, an interpreter, or another translator to prepare the program for execution. The instructions may include statements and necessary declarations. (2) (ISO) To design, write, and test programs. (~) (ANSI) In programming languages, a set of one or more interrelated modules capable of being executed. (4) Loosely, a routine. (5) Loosely, to write a routine.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Programming language. &lt;/b&gt;(IEEE) A language used to express computer programs. See: computer language, high-level language, low-level language.&lt;br /&gt;programming standards. See: coding standards.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Project&lt;/b&gt; A problem. usually calling for planned action.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Project plan&lt;/b&gt;. (NIST) A management document describing the approach taken for a project. The plan typically describes work to be done, resources required, methods to be used, the configuration management and quality assurance procedures to be followed, the schedules to be met, the project organization, etc. Project in this context is a generic term. Some projects may also need integration plans, security plans, test plans, quality assurance plans, etc. See: documentation plan, software development plan, test plan, software engineering.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Proof of correctness. &lt;/b&gt;(NBS) The use of techniques of mathematical logic to infer that a relation between program variables assumed true at program entry implies that another relation between program variables holds at program exit.&lt;br /&gt;protocol. achieving communication.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Prototyping&lt;/b&gt;. Using software tools to accelerate the software development process by facilitating the identification of required functionality during analysis and design phases. A limitation of this technique is the identification of system or software problems and hazards. See: rapid prototyping&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;Q&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;QIS&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Quality Information System&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;QS-9000 &lt;/b&gt;A quality standard, based on ISO 9000, used by the American domestic automobile manufacturers to register their suppliers.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Qualification, installation&lt;/b&gt;. (FDA) Establishing confidence that process equipment and ancillary systems are compliant with appropriate codes and approved design intentions, and that manufacturer's recommendations are suitably considered.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Qualification, operational.&lt;/b&gt; (FDA) Establishing confidence that process equipment and subsystems are capable of consistently operating within established limits and tolerances.&lt;br /&gt;qualification, process performance.(FDA) Establishing confidence that the process is effective and reproducible.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Qualification, product performance. &lt;/b&gt;(FDA) Establishing confidence through appropriate testing that the finished product produced by a specified process meets all release requirements for functionality and safety.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality&lt;/b&gt; "Quality is conformance to specifications. "British Defence Industries Quality Assurance Panel "Quality is conformance to requirements." Philip Crosby "Quality is fitness for purpose." Dr Juran "Quality is synonymous with customer needs and expectations." R J Mortiboys "Quality is a predictable degree of uniformity and dependability, at low cost and suited to the market. "Dr Edward Deming "Quality is meeting the (stated) requirements of the customer- now and in the future." Mike Robinson "Quality is the total composite product and service characteristics of marketing, engineering, manufacturing and maintenance through which the product and service in use will meet the expectations by the customer." Armand Feigenbaum "Totality of characteristics of an entity that bear on its ability to satisfy stated and implied needs." ISO 8402 : 1994. &lt;b style=""&gt;Quality &lt;/b&gt;The ability of a product, or service, to meet customer requirements, both stated and unstated&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Assurance&lt;/b&gt; All the planned and systematic activities implemented within the quality systems to provide adequate confidence the requirements for quality will be met.&lt;br /&gt;quality assurance, software. (IEEE) (1) A planned and systematic pattern of all actions necessary to provide adequate confidence that an item or product conforms to established technical requirements. (2) A set of activities designed to evaluate the process by which products are developed or manufactured.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality assurance&lt;/b&gt;. (1) (ISO) The planned systematic activities necessary to ensure that a component, module, or system conforms to established technical requirements. (2) All actions that are taken to ensure that a development organization delivers products that meet performance requirements and adhere to standards and procedures. (3) The policy, procedures, and systematic actions established in an enterprise for the purpose of providing and maintaining some degree of confidence in data integrity and accuracy throughout the life cycle of the data, which includes input, update, manipulation, and output. (4) (QA) The actions, planned and performed, to provide confidence that all systems and components that influence the quality of the product are working as expected individually and collectively.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Audit &lt;/b&gt;A systematic and independent examination to determine quality related activities are implemented effectively and comply with the quality systems and/or quality standards.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Characteristics&lt;/b&gt; The characteristics of an output of a process that are important to the customer. Identification of quality characteristics requires knowledge of the customers needs and expectations.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality circles &lt;/b&gt;1. Quality improvement teams or groups. 2. In &lt;st1:country-region st="on"&gt;&lt;st1:place st="on"&gt;Japan&lt;/st1:place&gt;&lt;/st1:country-region&gt;, groups of employees formed for the study of and sharing information regarding quality control issues and theory.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Control&lt;/b&gt; The process by which actual product or service performance is measured and compared with a standard, and action is taken to eliminate any non-conformances&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Council &lt;/b&gt;A group of senior management within given operational units who plan, implement, facilitate, and monitor the QUALITY PROCESS.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Function Deployment&lt;/b&gt; (QFD) A requirements identification analysis, flow down, and tracking technique. It focuses on quality and communication to translate customer needs into product and process design specifics. Also known as the "house of quality."&lt;br /&gt;Quality function deployment (QFD) A technique used to translate customer requirements into appropriate goals for each stage of product or service development and output. The two approaches to quality function deployment are known as the House of Quality and the Matrix of Matrices.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality improvement &lt;/b&gt;A systematic approach to the processes of work that looks to remove waste, loss, rework, frustration, etc. in order to make the processes of work more effective, efficient, and appropriate.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality improvement team&lt;/b&gt; A group of employees that take on a project to improve a given process or design a new process within an organization.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality loss function&lt;/b&gt; An algebraic function that illustrates the loss of quality that occurs when a characteristic deviates from its target value. It is expressed often in monetary terms. Dr. Genichi Taguchi coined this term; his work suggests that quality losses vary as the square of the deviation from target.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Management&lt;/b&gt; The planned actions taken to ensure the effective implementation of an organization's quality systems.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Manual&lt;/b&gt; A document stating the quality policy and describing the quality systems of an organization.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Planning&lt;/b&gt; Quality Planning is a structured process for defining the methods that will be used in the production of a specific product or family of products. Quality planning embodies the concepts of defect prevention and continuous improvement as contrasted with defect detection.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Policy&lt;/b&gt; A statement and a genuine commitment from Top Management regarding their position relative to Quality Products and/or Services.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Process&lt;/b&gt; A planned strategy that ensures all employees will be able to produce defect free work.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Quality Records&lt;/b&gt; Quality Records are the documented evidence that the supplier's processes were executed according to the quality system documentation and records results.&lt;br /&gt;&lt;b style=""&gt;Quality System&lt;/b&gt; Organizational structure, procedures, processes and resources required to implement quality management.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;R&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Random &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;Selecting a sample so each item in the population has an equal chance of being selected; lack of predictability; without pattern.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Random Sample &lt;/b&gt;One or more samples randomly selected from the universe (population).&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Random Sampling&lt;/b&gt; The process of selecting units for a sample of size, so that all units have an equal chance of being selected as the sample.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Random Variable&lt;/b&gt; A variable which can assume any value from a set of possible values.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Random Variations&lt;/b&gt; Variations in data which result from causes which cannot be pinpointed or controlled.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Range&lt;/b&gt; The difference between the highest and lowest values in a set of values or "subgroup."&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Range Control Chart &lt;/b&gt;Control chart in which the range of the subgroup is used to track the instantaneous variation within a process, i.e. the variation in the process at any one time, when many input factors would not have time to vary enough to make a detectable difference. Range charts are usually paired with average charts for complete analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Ranks &lt;/b&gt;Values assigned to items in a sample to determine their relative occurrence in a population.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Record.&lt;/b&gt; (1) (ISO) a group of related data elements treated as a unit. [A data element (field) is a component of a record, a record is a component of a file (database)].&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Registered Suppliers &lt;/b&gt;Registered Suppliers are suppliers who have received third party registration to a specific quality system standard for the commodity supplied.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Regrade&lt;/b&gt; Action taken on non-conforming product that changes the classification, or category of the product for use in alternative applications. Cannot be done without customer approval/direction. [Also see Repair/Rework]&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Regression analysis&lt;/b&gt; A statistical technique used to determine the best mathematical expression to describe the relationship between a response and independent variables.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Regression analysis and testing&lt;/b&gt;. (IEEE) A software V&amp;amp;V task to determine the extent of V&amp;amp;V analysis and testing that must be repeated when changes are made to any previously examined software products. See: testing, regression.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Relations Diagram&lt;/b&gt; method is a technique developed to clarify intertwined causal relationships in a complex situation in order to find an appropriate solution. It is typically represented graphically as squared ellipses (concepts) connected by directed lines (arrowheads show direction). The directed lines represent causal relations between the concepts.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Release&lt;/b&gt;. (IEEE) The formal notification and distribution of an approved version. See: version.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Reliability assessment&lt;/b&gt;. (ANSI/IEEE) The process of determining the achieved level of reliability for an existing system or system component.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Reliability&lt;/b&gt; The probability of a product or service successfully doing its job under given conditions.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Reliability &lt;/b&gt;The probability that an item will continue to function at customer expectation levels at a measurement point, under specified environmental and duty cycle conditions.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Reliability&lt;/b&gt;. (IEEE) The ability of a system or component to perform its required functions under stated conditions for a specified period of time. See: software reliability.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Repair&lt;/b&gt; Action taken on non-conforming product so that the product will fulfill the intended usage, although the product may not&lt;br /&gt;conform to the original requirements. [Also see Regrade/Rework]&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Replication &lt;/b&gt;Observations made under identical test conditions.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Representative Sample&lt;/b&gt; A sample which accurately reflects a specific condition or set of conditions within the universe.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Requirement&lt;/b&gt;. (IEEE) (1) A condition or capability needed by a user to solve a problem or achieve an objective (2) A condition or capability that must be met or possessed by a system or system component to satisfy a contract, standard. specification, or other formally imposed documents. (3) A documented representation of a condition or capability as in (1) or (2). See: design requirement, functional requirement, implementation requirement, interface requirement, performance requirement, physical requirement.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Requirements analysis&lt;/b&gt;. (IEEE) (1) The process of studying user needs to arrive at a definition of a system, hardware, or software requirements. (2) The process of studying and refining system, hardware, or software requirements. See: prototyping, software engineering.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Requirements phase&lt;/b&gt;. (IEEE) The period of time in the software life cycle during which the requirements, such as functional and performance capabilities for a software product, are defined and documented.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Resources&lt;/b&gt;-those items necessary for a team to understand a problem and implement solutions; also, the time to work on solutions, access to manufacturing engineers, etc.&lt;br /&gt;revalidation. Relative to software changes, revalidation means validating the change itself, assessing the nature of the change to determine potential ripple effects, and performing the necessary regression testing.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Review&lt;/b&gt;. (IEEE) A process or meeting during which a work product or set of work products, is presented to project personnel, managers, users, customers, or other interested parties for comment or approval. Types include code review, design review, formal qualification review, requirements review, test readiness review. Contrast with audit, inspection. See: static analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Rework&lt;/b&gt; Action taken on non-conforming product so that it will meet the specified requirements.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;RFP &lt;/b&gt;Request For Proposal&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;RFQ&lt;/b&gt; Request For Quotation&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Risk assessment.&lt;/b&gt; (DOD) A comprehensive evaluation of the risk and its associated impact.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Risk &lt;/b&gt;The possibility of loss, injury, disadvantage or destruction. Apply this definition to the issues of program management and you have the starting point for successful risk management&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Risk&lt;/b&gt;. (IEEE) A measure of the probability and severity of undesired effects. Often taken as the simple product of probability and consequence.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Robust design&lt;/b&gt; An approach to the planning of new products and services that harnesses Taguchi methods.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Robust&lt;/b&gt; The ability of a product or service to function appropriately regardless of external conditions and other uncontrollable factors.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Root Cause Analysis&lt;/b&gt; Using one or more various tools to determine the root cause of a specific failure.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Root Cause &lt;/b&gt;The lowest level cause of a failure, or variation in a product, component, or process .&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;RPN&lt;/b&gt; Risk Priority Number (ref: FMEA)&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Run&lt;/b&gt; 1) SPC: A consecutive number of points consistently increasing or decreasing. 2) Production: The production of a specified number of sequential units.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Run chart&lt;/b&gt; Also known as a line chart, or line graph. A chart that plots data over time, allowing you to identify trends and anomalies&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;S&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style=";font-family:Georgia;color:teal;"  &gt;&lt;a href="http://www.piqc.com.pk/tqm.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/f.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/g.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/h.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/i.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;&lt;b style=""&gt;&lt;a href="http://www.piqc.com.pk/j.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;span style="color:teal;"&gt;&lt;a href="http://www.piqc.com.pk/k.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/l.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/m.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/n.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/o.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/p.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/q.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/r.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/s.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/t.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/u.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/v.htm"&gt;&lt;span style="color:teal;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;a href="http://www.piqc.com.pk/wxyz.htm"&gt;&lt;span style="color:teal;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;/b&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Safety&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; (DOD) Freedom from those conditions that can cause death, injury, occupational illness, or damage to or loss of equipment or property, or damage to the environment.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Sample&lt;/b&gt; One or more observations drawn from a larger collection of observations or universe (population).&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Sample standard deviation chart &lt;/b&gt;(s chart) Control chart in which the standard deviation of the subgroup is tracked to determine the variation within a process over time. Sample standard deviation charts are usually paired with average charts for complete analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Scatter Diagram &lt;/b&gt;show the pattern of relationship between two variables that are thought to be related. For example is their a relationship between out side temperature and cases of the common cold? As temperatures drop, do colds increase. The closer the points hug a diagonal line the more closely there is a one to one relationship.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Scatterplot &lt;/b&gt;A tool that studies the possible relationship between two variables expressed on the x-axis and y-axis of a graph. The direction and density of the points plotted will indicate various relationships or a lack of any relationship between the variables.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Seven tools of quality&lt;/b&gt; Quality improvement tools that include the histogram, Pareto chart, check sheet, control chart, cause-and-effect diagram, flowchart, and scatter diagram.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;SFMEA&lt;/b&gt; System Failure Mode and Effects Analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Shewhart cycle&lt;/b&gt; Another name for the Plan-Do-Check-Act cycle. It is also sometimes called the Deming cycle.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Shewhart, Walter A.&lt;/b&gt; The father of statistical process control or statistical quality control. He pioneered statistical quality control and improvement methods when he worked for Western Electric and Bell Telephone in the early decades of the 20th century.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Sigma&lt;/b&gt; is a statistical unit of measure which reflects process capability. The sigma scale of measure is perfectly correlated to such characteristics as defects per unit, parts per million defective, and the probability of a failure/error.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Significant Characteristics&lt;/b&gt; Product and process characteristics designated by the customer, including governmental regulatory and safety, and/or selected by the supplier through knowledge of the product and process.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Simulation analysis&lt;/b&gt;. (IEEE) A software V&amp;amp;V task to simulate critical tasks of the software or system environment to analyze logical or performance characteristics that would not be practical to analyze manually.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Simulation&lt;/b&gt;.(1) (NBS) Use of an executable model to represent the behavior of an object. During testing the computational hardware, the external environment, and even code segments may be simulated. (2) (IEEE) A model that behaves or operates like a given system when provided a set of controlled inputs. Contrast with emulation.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Simulator&lt;/b&gt;. IEEE) A device, computer program, or system that behaves or operates like a given system when provided a set of controlled inputs. Contrast with emulator. A simulator provides inputs or responses that resemble anticipated process parameters. Its function is to present data to the system at known speeds and in a proper format.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Simultaneous Engineering &lt;/b&gt;A way of simultaneously designing products, and the processes for manufacturing those products, through the use of cross functional teams to assure manufacturability and to reduce cycle time.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Six Sigma&lt;/b&gt; Structured application of the tools and techniques of Total Quality Management on a Project Basis to achieve strategic business results&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Six Sigma&lt;/b&gt; a failure rate of 3.4 parts per million or 99.99966% good&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Six Sigma &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;Application of the define, measure, analyse, improve and control steps.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Sizing&lt;/b&gt;.(IEEE) The process of estimating the amount of computer storage or the number of source lines required for a software system or component. Contrast with timing.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Skill&lt;/b&gt; Ability to perform a task or function.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software characteristic&lt;/b&gt;. An inherent, possibly accidental, trait, quality, or property of software; e.g., functionality, performance, attributes, design constraints, number of states, lines or branches.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software design description&lt;/b&gt;. (IEEE) A representation of software created to facilitate analysis, planning, implementation, and decision making. The software design description is used as a medium for communicating software design information, and may be thought of as a blueprint or model of the system. See: structured design, design description, specification.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software development plan. &lt;/b&gt;(NIST) The project plan for the development of a software product. Contrast with software development process, software life cycle.&lt;br /&gt;software development process. (IEEE) The process by which user needs are translated into a software product. the process involves translating user needs into software&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software documentation&lt;/b&gt;. (NIST) Technical data or information, including computer listings and printouts, in human readable form, that describe or specify the design or details, explain the capabilities, or provide operating instructions for using the software to obtain desired results from a software system. See: specification; specification, requirements: specification, design; software design description; test plan, test report, user's guide.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software element. &lt;/b&gt;(IEEE) A deliverable or in-process document produced or acquired during software development or maintenance. Specific examples include but are not limited to: (1) Project planning documents; i.e., software development plans, and software verification and validation plans.(2) Software requirements and design specifications.(3) Test documentation.(4) Customer-deliverable documentation.(5) Program source code.(6) Representation of software solutions implemented in firmware(7) Reports; i.e., review, audit, project status.(8) Data; i.e., defect detection, test. Contrast with software item. See: configuration item.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software engineering environment. &lt;/b&gt;(IEEE) The hardware, software, and firmware used to perform a software engineering effort. Typical elements include computer equipment. compilers, assemblers, operating systems, debuggers, simulators, emulators, test tools, documentation tools, and database management systems.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software engineering.&lt;/b&gt; (IEEE) The application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software; i.e., the application of engineering to software. See: project plan, requirements analysis, architectural design, structured design, system safety, testing, configuration management.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software hazard analysis.&lt;/b&gt; (CDE, CDRH) The identification of safety-critical software, the classification and estimation of potential hazards, and identification of program path analysis to identify hazardous combinations of internal and environmental program conditions. See: risk assessment, software safety change analysis, software safety code analysis, software safety design analysis, software safety requirements analysis, software safety test analysis, system safety.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software item&lt;/b&gt;. (IEEE) Source code. object code, job control code, control data, or a collection of these items. Contrast with software element.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software life cycle.&lt;/b&gt; (NIST) Period of time beginning when a software product is conceived and ending when the product is no longer available for use The software life cycle is typically broken into phases denoting activities such as requirements, design, programming, testing, installation, and operation and maintenance. Contrast with software development process. See: waterfall model.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software reliability&lt;/b&gt;. (IEEE) (1) the probability that software will not cause the failure of a system for a specified time under specified conditions. The probability is a function of the inputs to and use of the system in the software The inputs to the system determine whether existing faults, if and are encountered. (2) The ability of a program to perform its required functions accurately and reproducibly under stated conditions for a specified period of time.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software review&lt;/b&gt;. (IEEE) An evaluation of software elements to ascertain discrepancies from planned results and to recommend improvement. This evaluation follows a formal process. Syn: software audit. See: code audit, code inspection, code review, code walkthrough, design review, specification analysis, static analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software safety code analysis&lt;/b&gt;. (IEEE) Verification that the safety-critical portion of the design are correctly implemented in the code. See: logic analysis, data analysis, interface analysis, constraint analysis, programming style analysis, non-critical code analysis, timing and sizing analysis, software hazard analysis, system safety.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software safety design analysis&lt;/b&gt;. (IEEE) Verification that the safety-critical portion of the software design correctly implements the safety-critical requirements and introduces no new hazards. See: logic analysis, data analysis, interface analysis, constraint analysis, functional analysis, software element analysis, timing and sizing analysis, reliability analysis. software hazard analysis, system safety.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software safety requirements analysis.&lt;/b&gt; (IEEE) Analysis evaluating software and interface requirements to identify errors and deficiencies that could contribute to a hazard. See: criticality analysis, specification analysis, timing and sizing analysis, different software systems analyses, software hazard analysis, system safety.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software safety test analysis.&lt;/b&gt; (IEEE) Analysis demonstrating that safety requirements have been correctly implemented and that the software functions safely within its specified environment. Tests may include; unit level tests, interface tests, software configuration item testing, system level testing, stress testing, and regression testing. See: software hazard analysis, system safety.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Software&lt;/b&gt; .(ANSI) Programs, procedures, rules, and any associated documentation pertaining to the operation of a system. Contrast with hardware See: application software, operating system, system software. utility software.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Source code&lt;/b&gt;.(1) (IEEE) Computer instructions and data definitions expressed in a form suitable for input to an assembler, compiler or other translator. (2) The human readable version of the list of instructions [program] that cause a computer to perform a task. Contrast with object code. See: source program, programming language.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;SPC&lt;/b&gt; Statistical Process Control The application of statistical methods to analyze data, study and monitor process capability and performance. Use of control charts to monitor process performance.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;SPC&lt;/b&gt; Statistical Process Control: The use of statistical techniques such as control charts to analyze a process , enabling appropriate actions to achieve a stable process...&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Special causes (Assignable Cause) &lt;/b&gt;Causes of variation in a process that are not inherent in the process itself but originate from circumstances that are out of the ordinary. Special causes are indicated by points that fall outside the limits of a control chart.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Specification analysis.&lt;/b&gt; (IEEE) Evaluation of each safety-critical software requirement with respect to a list of qualities such as completeness, correctness, consistency, testability. robustness, integrity, reliability, usability, flexibility, maintainability, portability, interoperability, accuracy, audibility, performance. internal instrumentation, security and training.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Specification limit&lt;/b&gt; An engineering or design requirement that must be met in order to produce a satisfactory product.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Specification tree.&lt;/b&gt; (IEEE) A diagram that depicts all of the specifications for a given system and&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Specification, product. &lt;/b&gt;(IEEE) A document which describes the as built version of the software&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Specification, requirements&lt;/b&gt;. (NIST) A specification that documents the requirements of a system or system component. It typically includes functional requirements. performance requirements, interface requirements, design requirements [attributes and constraints], development [coding] standards, etc Contrast with requirement.&lt;br /&gt;specification, test case. See: test case.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Specification, design.&lt;/b&gt; (NIST) A specification that documents how a system is to be built. It typically includes system or component structure, algorithms, control logic, data structures, data set [file] use information, input/output formats, interface descriptions, etc Contrast with design standards, requirement. See: software design description.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Specification, functional.&lt;/b&gt; (NIST) A specification that documents the functional requirements for a system or system component. It describes what the system or component is to do rather than how it is to be built. Often part of a requirements specification. Contrast with requirement.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Specification. &lt;/b&gt;(IEEE) A document that specifies, in a complete, precise, verifiable manner, the requirements, design, behavior, or other characteristics of a system or component, and often, the procedures for determining whether these provisions have been satisfied. Contrast with requirement. See: specification, formal; specification, requirements; specification, functional; specification, performance; specification, interface; specification, design; coding standards; design standards.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Specifications&lt;/b&gt; are engineering requirements for judging the acceptability of a part characteristic. For the production part approval process, every feature of the product as identified by engineering specifications must be measured. Actual measurement and test results are required. Specifications should not be confused with control limits which represent "the voice of the process".&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Spider Diagram&lt;/b&gt; A visual reporting tool for the performance of a number of indicators. Also known as a "radar chart" this tool makes visible the gaps between the current and desired performance.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Spiral model.&lt;/b&gt; (IEEE) A model of the software development process in which the constituent activities, typically requirements analysis, preliminary and detailed design. coding, integration, and testing, are performed iteratively until the software is complete Syn: evolutionary model, Contrast with incremental development; rapid prototyping; waterfall model.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;SQA&lt;/b&gt; Supplier Quality Assistance&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;SQC &lt;/b&gt;Statistical Quality Control: The application of statistical techniques to measure variation in materials, parts, components, and products. The process of maintaining acceptable levels of product quality by using statistical techniques.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Stable Process&lt;/b&gt; A process from which all special causes of variation have been eliminated and only common causes remain.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Standard Deviation&lt;/b&gt; A statistical index of variability which describes the spread.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Standard operating procedures&lt;/b&gt;. (SOP) Written procedures [prescribing and describing the steps to be taken in normal and defined conditions] which are necessary to assure control of production and processes.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Static analysis&lt;/b&gt;. (1) (NBS) Analysis of a program that is performed without executing the program. (2) (IEEE) The process of evaluating a system or component based on its form, structure, content, documentation. Contrast with dynamic analysis. See: code audit, code inspection, code review, code walk-through, design review, symbolic execution.&lt;br /&gt;static analyzer. (ANSI/IEEE) A software tool that aides in the evaluation of a computer program without executing the program. Examples include checkers, compilers, cross-reference generators, standards enforcers, and flow-charters.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Statistical Control &lt;/b&gt;Is the condition of a process from which all special causes of variation have been eliminated and only common causes remain. Statistical control is evidenced on ,a control chart by the absence of points beyond the control limits and by the absence of any non random patterns or trends.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Statistical process control &lt;/b&gt;(SPC) Analysis and control of a process through the use of statistical techniques, particularly control charts.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Statistical quality control &lt;/b&gt;(SQC) Analysis and control of quality through the use of statistical techniques, focus is on the product not the process.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Stratification &lt;/b&gt;A process of grouping data according to a common characteristic.&lt;br /&gt;Structural variation Variation caused by recurring system-wide changes such as seasonal changes or long-term trends.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Structured design.&lt;/b&gt; (IEEE) Any disciplined approach to software design that adheres to specified rules based on principles such as modularity, top-down design, and stepwise refinement of data, system structure, and processing steps. See: data structure centered design, input-processing-output, modular decomposition, object oriented design, rapid prototyping, stepwise refinement, structured programming. transaction analysis, transform analysis, graphical software specification/design documents, modular software, software engineering.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Structured programming&lt;/b&gt;. (IEEE) Any software development technique that includes structured design and results in the development of structured programs. See: structured design.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Stub.&lt;/b&gt; (NES) Special code segments that when invoked by a code segment under test will simulate the behavior of designed and specified modules not yet constructed.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Subgroup&lt;/b&gt;A logical grouping of objects or events which displays only random event to event variations, e.g., the objects or events are grouped to create homogenous groups free of assignable or special causes. By virtue of the minimum within group variability, any change in the central tendency or variance of the universe will be reflected in the "subgroup to subgroup' variability.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Submission Level&lt;/b&gt; Refers to the level of evidence required for production part submissions.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Subroutine trace&lt;/b&gt;. (IEEE) A record of all or selected subroutines or function calls performed during the execution of a computer program and. optionally, the values of parameters passed to and returned by each subroutine or function. Syn: call trace. See: execution trace, retrospective trace, symbolic trace, variable trace.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Subroutine&lt;/b&gt;. (IEEE) A routine that returns control to the program or subprogram that called it. Note: This term is defined differently in various programming languages. See: module.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Subsystem&lt;/b&gt; A major part of a system which itself has the characteristics of a system, usually consisting of several components.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Supplier&lt;/b&gt; Anyone whose output (materials, information, service, etc.) becomes an input to another person or group in a process of work. A supplier can be external or internal to the organization.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Suppliers &lt;/b&gt;The people who provide inputs to jobs, whether from inside or outside Your Company. In quality improvement, the customer and supplier relationship become an interactive relationship that calls for agreeing to and communicating specifications.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Surveillance Audit&lt;/b&gt; A post-registration quality audits to ensure the quality systems is still effectively implemented and continuous improvement is evident.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Symbolic execution. &lt;/b&gt;(IEEE) A static analysts technique in which program execution is simulated using symbols, such as variable names, rather than actual values for input data, and program outputs are expressed as logical or mathematical expressions involving these symbols.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Symbolic trace. &lt;/b&gt;(IEEE} A record of the source statements and branch outcomes that are encountered when a computer program is executed using symbolic, rather than actual values for input data. See: execution trace. retrospective trace, subroutine trace, variable trace.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;SYMPTOM &lt;/b&gt;That which serves as evidence of something not seen.&lt;br /&gt;syntax. The structural or grammatical rules that define how symbols in a language are to be combined to form words, phrases, expressions, and other allowable constructs.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;SYSTEM&lt;/b&gt; That which is connected according to a scheme&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System&lt;/b&gt; A combination of several components or pieces of equipment integrated to perform a specific function.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System administrator&lt;/b&gt;. The person that is charged with the overall administration, and operation of a computer system. The System Administrator is normally an employee or a member of the establishment. Syn: system manager.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System analysis. &lt;/b&gt;(ISO) A systematic investigation of a real or planned system to determine the functions of the system and how they relate to each other and to any other system. See: requirements phase.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System design review&lt;/b&gt;. (IEEE) A review conducted to evaluate the manner in which the requirements for a system have been allocated to configuration items, the system engineering process that produced the allocation, the engineering planning for the next phase of the effort, manufacturing considerations, and the planning for production engineering. See: design review.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System design&lt;/b&gt;. (ISO) A process of defining the hardware and software architecture, components, modules, interfaces, and data for a system to satisfy specified requirements. See: design phase, architectural design, functional design.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System documentation&lt;/b&gt;. (ISO) The collection of documents that describe the requirements, capabilities, limitations, design,&lt;br /&gt;operation, and maintenance of an information processing system. See: specification, test documentation, user's guide.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System integration. &lt;/b&gt;(ISO) The progressive linking and testing of system components into a complete system. See: incremental integration.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System life cycle&lt;/b&gt;. The course of developmental changes through which a system passes from its conception to the termination of its use; a.g., the phases and activities associated with the analysis. acquisition, design, development, test, integration, operation, maintenance, and modification of a system. See: software life cycle.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System safety. &lt;/b&gt;(DOD) The application of engineering and management principles, criteria, and techniques to optimize all aspects of safety within the constraints of operational effectiveness, time, and cost throughout all phases of the system life cycle. See: risk assessment, software safety change analysis, software safety code analysis, software safety design analysis, software safety requirements analysis, software safety test analysis, software engineering.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System software&lt;/b&gt;. (ISO) Application-independent software that supports the running of application software (2) (IEEE) Software designed to facilitate the operation and maintenance of a computer system and its associated programs: eg., operating systems, assemblers, utilities. Contrast with application software See: support software&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;System&lt;/b&gt;. (1) (ANSI) People, machines, and methods organized to accomplish a set of specific functions. (2) (DOD) A composite, at any level of complexity, of personnel, procedures, materials, tools, equipment, facilities, and software The elements of this composite entity are used together in the intended operational or support environment to perform a given task or achieve a specific purpose, support. or mission requirement.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Systematic Diagram &lt;/b&gt;method searches for the most appropriate and effective means of accomplishing given objectives. ... Systematic diagrams can be divided into two types: The constituent component analysis diagram breaks down the main subject into its basic elements and depicts their relationships to the objectives and means of obtaining those objectives. The plan development diagram systematically shows the means and procedures necessary to successfully implement a given plan. It is typically represented graphically either a horizontal or vertical tree structure connecting the elements.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;    &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;br /&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;T&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Taguchi, Genichi &lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt;Developed a set of practices known as Taguchi Methods, as they are known in the &lt;st1:country-region st="on"&gt;&lt;st1:place st="on"&gt;U.S.&lt;/st1:place&gt;&lt;/st1:country-region&gt;, for improving quality while reducing costs. Taguchi Methods focus on the design of efficient experiments, and the increasing of signal to noise ratios. Dr. Taguchi also articulated the developed the quality loss function. Currently, he is executive director of the American Supplier Institute and director of the Japan Industrial Technology Institute.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Tampering&lt;/b&gt; Not differentiating between common and special cause variation and changing the process.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test case&lt;/b&gt;. (IEEE) Documentation specifying inputs, predicted results, and a set of execution conditions for a test item. Syn: test&lt;br /&gt;case specification.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test design&lt;/b&gt;. (IEEE) Documentation specifying the details of the test approach for a software feature or combination of software features and identifying the associated tests. See: testing functional; cause effect graphing; boundary value analysis; equivalence class partitioning; error guessing; testing, structural; branch analysis; path analysis; statement coverage; condition coverage: decision coverage; multiple-condition coverage.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test documentation&lt;/b&gt;. (IEEE) Documentation describing plans for, or results ot the testing of a system or component, Types include test case specification, test incident report, test log, test plan, test procedure, test report.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test driver&lt;/b&gt;. (IEEE) A software module used to invoke a module under test and, often, provide test inputs, control and monitor execution, and report test results. Syn: test harness.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test log&lt;/b&gt;. (IEEE) A chronological record of all relevant details about the execution of a test.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;TEST OF SIGNIFICANCE&lt;/b&gt; A procedure to determine whether a quantity subjected to random variation differs from a postulated value by an amount greater than that due to random variation alone.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test phase&lt;/b&gt;. (IEEE) The period of time in the software life cycle in which the components of a software product are evaluated and&lt;br /&gt;integrated, and the software product is evaluated to determine whether or not requirements have been satisfied.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test plan&lt;/b&gt;. (IEEE) Documentation specifying the scope, approach, resources, and schedule of intended testing activities. It identifies test items, the features to be tested, the testing tasks, responsibilities, required resources, and any risks requiring contingency planning. See: test design, validation protocol.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test procedure&lt;/b&gt;. (NIST) A formal document developed from a test plan that presents detailed instructions for the setup, operation, and evaluation of the results for each defined test. See: test case.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test report. &lt;/b&gt;(IEEE) A document describing the conduct and results of the testing carried out for a system or system component.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Test.&lt;/b&gt; (IEEE) An activity in which a system or component is executed under specified conditions, the results are observed or recorded and an evaluation is made of some aspect of the system or component.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testability&lt;/b&gt;. (IEEE) (1) The degree to which a system or component facilitates the establishment of test criteria and the performance of tests to determine whether those criteria have been met. (2) The degree to which a requirement is stated in terms that permit establishment of test criteria and performance of tests to determine whether those criteria have been met.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, acceptance.&lt;/b&gt; (IEEE) Testing conducted to determine whether or not a system satisfies its acceptance criteria and to enable the customer to determine whether or not to accept the system. Contrast with testing, development; testing, operational. See: testing, qualification.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, alpha &lt;/b&gt;[a]. (Pressman) Acceptance testing performed by the customer in a controlled environment at the developer's site. The software is used by the customer in a setting approximating the target environment with the developer observing and recording errors and usage problems.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, beta &lt;/b&gt;[B].(1) (Pressman) Acceptance testing performed by the customer in a live application of the software, at one or more end user sites, in an environment not controlled by the developer. (2) For medical device software such use may require an Investigational Device Exemption [ICE] or Institutional Review Board (IRS] approval.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, compatibility.&lt;/b&gt; The process of determining the ability of two or more systems to exchange information. In a situation where the developed software replaces an already working program, an investigation should be conducted to assess possible comparability problems between the new software and other programs or systems. See: different software system analysis; testing, integration; testing, interface. program variables. Feasible only for small, simple programs.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, design based functional&lt;/b&gt;. (NBS) The application of test data derived through functional analysis extended to include design functions as well as requirement functions. See: testing, functional.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, development.&lt;/b&gt; (IEEE) Testing conducted during the development of a system or component, usually in the development environment by the developer. Contrast with testing, acceptance; testing, operational.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, formal&lt;/b&gt;. (IEEE) Testing conducted in accordance with test plans and procedures that have been reviewed and approved by a customer, user, or designated level of management. Antonym: informal testing.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, functional.&lt;/b&gt; (IEEE) (1) Testing that ignores the internal mechanism or structure of a system or component and focuses on the outputs generated in response to selected inputs and execution conditions. (2) Testing conducted to evaluate the compliance of a system or component with specified functional requirements and corresponding predicted results. Syn: black-box testing, input/output driven testing. Contrast with testing, structural.&lt;br /&gt;testing, interface. (IEEE) Testing conducted to evaluate whether systems or components pass data and control correctly to one another. Contrast with testing, unit; testing, system. See: testing, integration.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, operational. &lt;/b&gt;(IEEE) Testing conducted to evaluate a system or component in its operational environment. Contrast with testing, development; testing, acceptance; See: testing, system.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, parallel&lt;/b&gt; .(ISO) Testing a new or an alternate data processing system with the same source data that is used in another system. The other system is considered as the standard of comparison. Syn: parallel run.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, path. &lt;/b&gt;(NBS) Testing to satisfy coverage criteria that each logical path through the program be tested. Often paths through the program are grouped into a finite set of classes. One path from each class is then tested. Syn path coverage. Contrast with testing, branch; testing, statement; branch coverage; condition coverage; decision coverage.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, qualification&lt;/b&gt;. (IEEE) Formal testing, usually conducted by the developer for the consumer, to demonstrate that the software meets its specified requirements. See: testing, acceptance; testing, system.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, regression.&lt;/b&gt; (NIST) Rerunning test cases which a program has previously executed correctly in order to detect errors spawned by changes or corrections made during software development and maintenance.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, system.&lt;/b&gt; (IEEE) The process of testing an integrated hardware and software system to verify that the system meets its specified requirements. Such testing may be conducted in both the development environment and the target environment.&lt;br /&gt;testing, unit. (1) (NIST) Testing of a module for typographic, syntactic, and logical errors, for correct implementation of its design, and for satisfaction of its requirements. (2) (IEEE) Testing conducted to verify the implementation of the design for one software element; e.g., a unit or module; or a collection of software elements. Syn: component testing.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, usability.&lt;/b&gt; designed in a manner such that the information is displayed in a understandable fashion enabling the operator to correctly interact with the system?&lt;br /&gt;testing, volume. Testing designed to challenge a system's ability to manage the maximum amount of data over a period of time. This type of testing also evaluates a system's ability to handle overload situations in an orderly fashion.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing, worst case&lt;/b&gt;. Testing which encompasses upper and lower limits, and circumstances which pose the greatest chance finding of errors. Syn: most appropriate challenge conditions. See: testing, boundary' value; testing, invalid case; testing. special case: testing, stress; testing, volume.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing. integration.&lt;/b&gt; (IEEE) An orderly progression of testing in which software elements, hardware elements, or both are combined and tested, to evaluate their interactions, until the entire system has been integrated.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing. performance.&lt;/b&gt; (IEEE) Functional testing conducted to evaluate the compliance of a system or component with specified performance requirements.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing. special case.&lt;/b&gt; A testing technique using input values that seem likely to cause program errors; e.g., "0", "1", NULL, empty string. See: error guessing.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing. statement&lt;/b&gt;. (NIST) Testing to satisfy the criterion that each statement in a program be executed at least once during program testing. Syn: statement coverage. Contrast with testing, branch; testing, path; branch coverage; condition coverage; decision coverage; multiple condition coverage; path coverage.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing. valid case&lt;/b&gt;. A testing technique using valid [normal or expected] input values or conditions. See: equivalence class partitioning.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Testing&lt;/b&gt;. (IEEE) (1) The process of operating a system or component under specified conditions, observing or recording the results, and making an evaluation of some aspect of the system or component. (2) The process of analyzing a software item to detect the differences between existing and required conditions, i.e., bugs, and to evaluate the features of the software items. See: dynamic analysis, static analysis, software engineering.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;TGR &lt;/b&gt;Things Gone Right.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;TGW&lt;/b&gt; Things Gone Wrong.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;TOPS &lt;/b&gt;Team Oriented Problem Solving&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Total Quality Management &lt;/b&gt;(TQM) TQM is management and control activities based on the leadership of top management and based on the involvement of all employees and all departments from planning and development to sales and service. These management and control activities focus on quality assurance by which those qualities which satisfy the customer are built into products and services during the above processes and then offered to consumers.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Total Quality Management&lt;/b&gt; Managing for quality in all aspects of an organization focusing on employee participation and customer satisfaction. Often used as a catch-all phrase for implementing various quality control and improvement tools.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Total Quality Management/Total Quality Leadership &lt;/b&gt;(TQM/TQL) Both a philosophy and a set of guiding principles that represent the foundation of the continuously improving organization. TQM/TQL is the application of quantitative methods and human resources to improve the material and services supplied to a organization, all the processes within an organization, and the degree to which the needs of the customer are met, now and in the future. TQM/TQL integrates fundamental management techniques, existing improvement efforts and technical tools under a disciplined approach focused on continuous improvement.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;TQM&lt;/b&gt; Total Quality Management: A management approach of an organization centered on quality.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Trace. &lt;/b&gt;(IEEE) (1) A record of the execution of a computer program, showing the sequence of instructions executed, the names and values of variables, or both. Types include execution trace, retrospective trace, subroutine trace, symbolic trace, variable trace. (2) To produce a record as in (1). (3) To establish a relationship between two or more products of the development process: a.g., to establish the relationship between a given requirement and the design element that implements that requirement.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Traceability analysi&lt;/b&gt;s. (IEEE) The tracing of (1) Software Requirements Specifications requirements to system requirements in concept documentation, (2) software design descriptions to software requirements specifications and software requirements specifications to software design descriptions, (3) source code to corresponding design specifications and design specifications to source code. Analyze identified relationships for correctness, consistency, completeness, and accuracy. See: traceability, traceability matrix.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Traceability matrix.&lt;/b&gt; (IEEE) A matrix that records the relationship between two or more products; ag., a matrix that records the relationship between the requirements and the design of a given software component. See: traceability, traceability analysis.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Traceability&lt;/b&gt; The ability to trace a product back through the process , and identify all sub-processes, components, and equipment that were involved in its manufacture.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Traceabilit&lt;/b&gt;y. (IEEE) (1) The degree to which a relationship can be established between two or more products of the development process, especially products having a predecessor-successor or master-subordinate relationship to one another; ag., the degree to which the requirements and design of a given software component match. See: consistency. (2) The degree to which each element in a software development product establishes its reason for existing; e.g., the degree to which each element in a bubble chart references the requirement that it satisfies. See: traceability analysis, traceability matrix.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Transition Period&lt;/b&gt; Time when an organization is moving away from an old way of thinking to the new way.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Tree diagram&lt;/b&gt; A chart used to break any task, goal, or category into increasingly detailed levels of information. Family trees are the classic example of a tree diagram.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;TRIZ&lt;/b&gt; Theory of Inventive Problem Solving&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Trojan horse&lt;/b&gt;. A method of attacking a computer system, typically by providing a useful program which contains code intended to compromise a computer system by secretly providing for unauthorized access, the unauthorized collection of privileged system or user data, the unauthorized reading or altering of files, the performance of unintended and unexpected functions, or the malicious destruction of software and hardware See: bomb, virus, worm.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Type I error &lt;/b&gt;Rejecting something that is acceptable. Also known as an alpha error.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Type II error&lt;/b&gt; Accepting something that should have been rejected. Also known as beta error&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;    &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;br /&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;U&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;u chart&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; A control chart showing the count of defects per unit in a series of random samples.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;UPPER CONTROL LIMIT&lt;/b&gt; A horizontal line on a control chart (usually dotted) which represents the upper limits of process capability.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Usability&lt;/b&gt;. (IEEE) The ease with which a user can operate, prepare inputs for, and interpret of a system or component.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;User&lt;/b&gt;. (ANSI) Any person, organization, or functional unit that uses the services of an information processing system. See: end user.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;User's guide&lt;/b&gt;. (ISO) Documentation that describes how to use a functional unit, and that may include description of the rights and responsibilities of the user, the owner, and the supplier of the unit. Syn: user manual, operator manual&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;V&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;VA/VE&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Value Analysis/Value Engineering.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Validate&lt;/b&gt;. To prove to be valid.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Validation&lt;/b&gt; Establishing proof that a design, product, or process will perform to specifications.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Validation protocol.&lt;/b&gt; (FDA) A written plan stating how validation will be conducted, including test parameters, product characteristics. production equipment, and decision points on what constitutes acceptable test results. See: test plan.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Validation, process. &lt;/b&gt;(FDA) Establishing documented evidence which provides a high degree of assurance that a specific process will consistently produce a product meeting its predetermined specifications and quality characteristics.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Validation, software&lt;/b&gt;. (NBS) Determination of the correctness of the final program or software produced from a development project with respect to the user needs and requirements. Validation is usually accomplished by verifying each stage of the software development life cycle. See: verification, software.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Validation&lt;/b&gt;.(1) (FDA) Establishing documented evidence which provides a high degree of assurance that a specific process will consistently produce a product meeting its predetermined specifications and quality attributes. Contrast with data validation.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Value Added Activity&lt;/b&gt; An activity in a process that adds value to an output product or service, that is, the activity merits the cost of the resources it consumes in production.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Value Added&lt;/b&gt; Any action, activity, or process that adds direct value to the output of the action, activity, or process .&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Value added&lt;/b&gt; Each time work is done to inputs to transform them into something of greater usefulness as an end product.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;VARIABLE &lt;/b&gt;A characteristic that may take on different values.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Variable Cost&lt;/b&gt; A cost element that varies directly with the amount of product or service produced by an activity or cost. Variable costs go to zero if the activity stops.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Variables data&lt;/b&gt; Data that is measured on a continuous and infinite scale such as temperature, distance, and pressure rather than in discreet units or yes/no options. Variables data is used to create histograms, some control charts, and sometimes run charts.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Variance&lt;/b&gt; A measure of deviation from the mean in a sample or population.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;VARIATION&lt;/b&gt; Any quantifiable difference between individual measurements; such differences can be classified as being due to common causes (random) or special causes (assignable)&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Variation &lt;/b&gt;Change in the output or result of a process. Variation can be caused by common causes, special causes, tampering, or structural variation.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Vendor&lt;/b&gt;. A person or an organization that provides software and (or hardware and/or firmware and/or documentation to the user for a fee or in exchange for services. Such a firm could be a medical device manufacturer.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Verification&lt;/b&gt; Establishing proof that a design, product, or process is within specifications.&lt;br /&gt;verification, software. (NIBS) In general the demonstration of consistence completeness, and correctness of the software at each stage and between each stage of the development life cycle. See: validation, software.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Verify. &lt;/b&gt;(ANSI) (1) To determine whether a transcription of data or other operation has been accomplished accurately. (2) To check the results of data entry; a.g., keypunching. (3) (Webster) To prove to be true by demonstration.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Version number.&lt;/b&gt; A unique identifier used to identify software items and the related software documentation which are subject to configuration control. The execution of a virus program compromises a computer system by performing unwanted or unintended functions which may be destructive.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Vision &lt;/b&gt;Often incorporated into an organizational mission (or vision) statement to clarify what the organization hopes to be doing at some point in the future. The vision should act as a guide in choosing courses of action for the organization.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Vision Statemen&lt;/b&gt;t Vision and &lt;st1:city st="on"&gt;&lt;st1:place st="on"&gt;Mission&lt;/st1:place&gt;&lt;/st1:city&gt; have a cause and effect relationship. Vision should reflect what the organization sees for itself 5 10 years down the road. The short time frame helps assure that the organization revitalizes itself every decade or so. The Vision statement should contain direction (improve, decrease, etc.) + indicator (quality, customer satisfaction, etc.) + target value (how much, #, %, etc.) + time limit (by when).&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Voice of the Customer&lt;/b&gt; Customer feedback both positive and negative including likes, dislikes, problems and suggestions.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Voice of the Process&lt;/b&gt; Statistical data that is feedback to the people in the process to make decisions about the process stability and/or capability as a tool for continuous improvement&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;    &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;br /&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style=";font-family:Georgia;font-size:36;color:teal;"   &gt;WXYZ&lt;/span&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;b style=""&gt;&lt;span style="font-family:Georgia;"&gt;Waiver&lt;/span&gt;&lt;/b&gt;&lt;span style="font-family:Georgia;"&gt; Written authorization to use or release a quantity of material, components, or stores already manufactured but not conforming to the specified requirements.&lt;br /&gt;walkthrough. See: code walkthrough.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;X &amp;amp; R CHARTS &lt;/b&gt;A control chart which is a representation of process capability over time; displays the variability in the process average and range across time.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;XmR Charts&lt;/b&gt; Control chart which uses a moving range. Typically two but can have a larger range.&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;ZD&lt;/b&gt; Zero Defects&lt;br /&gt;&lt;b style=""&gt;&lt;br /&gt;Zero defects&lt;/b&gt; Philip Crosby's recommended performance standard that leaves no doubt regarding the goal of total quality. &lt;st1:place st="on"&gt;Crosby&lt;/st1:place&gt;'s theory holds that people can continually move closer to this goal by committing themselves70 to their work and the improvement process&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: justify;"&gt;&lt;span style="font-family:Georgia;"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/5163337535802538756-8026890903309799274?l=quality4yours.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://quality4yours.blogspot.com/feeds/8026890903309799274/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://quality4yours.blogspot.com/2009/07/quality-dictionary-from-to-z.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/5163337535802538756/posts/default/8026890903309799274'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/5163337535802538756/posts/default/8026890903309799274'/><link rel='alternate' type='text/html' href='http://quality4yours.blogspot.com/2009/07/quality-dictionary-from-to-z.html' title='QUALITY DICTIONARY : From &quot;A&quot; to &quot;Z&quot;'/><author><name>UTPAL PATEL</name><uri>http://www.blogger.com/profile/03630983542493943403</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://2.bp.blogspot.com/_idGWDVFD7-I/SkYH7ceUwFI/AAAAAAAAAHQ/KFD8FMlex5M/S220/UBP-1.JPG'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-5163337535802538756.post-7397995535496081780</id><published>2009-06-16T23:19:00.000-07:00</published><updated>2009-06-16T23:23:18.636-07:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Dictate'/><title type='text'>QA &amp; Six Sigma Dict :</title><content type='html'>&lt;div style="text-align: justify; font-family: georgia;"&gt;&lt;meta equiv="Content-Type" content="text/html; charset=utf-8"&gt;&lt;meta name="ProgId" content="Word.Document"&gt;&lt;meta name="Generator" content="Microsoft Word 11"&gt;&lt;meta name="Originator" content="Microsoft Word 11"&gt;&lt;link rel="File-List" href="file:///C:%5CDOCUME%7E1%5Cqc%5CLOCALS%7E1%5CTemp%5Cmsohtml1%5C01%5Cclip_filelist.xml"&gt;&lt;o:smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="City"&gt;&lt;/o:smarttagtype&gt;&lt;o:smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="PlaceName"&gt;&lt;/o:smarttagtype&gt;&lt;o:smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="PlaceType"&gt;&lt;/o:smarttagtype&gt;&lt;o:smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="place"&gt;&lt;/o:smarttagtype&gt;&lt;!--[if gte mso 9]&gt;&lt;xml&gt; 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	mso-style-noshow:yes; 	mso-style-parent:""; 	mso-padding-alt:0in 5.4pt 0in 5.4pt; 	mso-para-margin:0in; 	mso-para-margin-bottom:.0001pt; 	mso-pagination:widow-orphan; 	font-size:10.0pt; 	font-family:"Times New Roman"; 	mso-fareast-font-family:"Times New Roman"; 	mso-ansi-language:#0400; 	mso-fareast-language:#0400; 	mso-bidi-language:#0400;} &lt;/style&gt; &lt;![endif]--&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;b&gt;&lt;u&gt;&lt;br /&gt;&lt;/u&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;b&gt;&lt;u&gt;QA &amp;amp; Six Sigma Dict&lt;/u&gt;&lt;/b&gt;&lt;b&gt;&lt;span style="font-size: 10pt; color: rgb(0, 24, 148);" lang="EN-AU"&gt; : &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Acceptance Number&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;span style="font-size: 10pt;" lang="EN-AU"&gt;&lt;br /&gt;The highest number of nonconforming units or defects found in the sample that permits the acceptance of the lot.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;span style="font-size: 10pt;" lang="EN-AU"&gt;&lt;span style=""&gt; &lt;/span&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Accessory Planning&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;span style="font-size: 10pt;" lang="EN-AU"&gt;&lt;br /&gt;The planned utilization of remnant material for value-added purposes.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Accuracy&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify; font-family: georgia;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify; font-family: georgia;"&gt;  &lt;/div&gt;&lt;p style="text-align: justify;" class="MsoBodyTextIndent2"&gt;&lt;span style="font-family: Georgia;" lang="EN-AU"&gt;Accuracy refers to the variation between a measurement and what actually exists. It is the difference between an individual's average measurements and that of a known standard, or accepted 'truth.'&lt;br /&gt; &lt;!--[if !supportLineBreakNewLine]--&gt;&lt;br /&gt; &lt;!--[endif]--&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Accuracy also refers to Precision or exactness or conformity to fact.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Affinity Diagram&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A tool used to organize and present large amounts of data (ideas, issues, solutions, problems) into logical categories based on user perceived relationships.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p style="text-align: justify;" class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Alpha risk&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Alpha risk is defined as the risk of accepting the alternate hypothesis when, in fact, the null hypothesis is true; in other words, stating that a difference exists where actually there is none. Alpha risk is stated in terms of probability (such as 0.05 or 5%)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p style="text-align: justify;" class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Alternative Hypothesis (Ha)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The alternate hypothesis (Ha) is a statement that the observed difference or relationship between two populations is real and not due to chance or sampling error. The alternate hypothesis is the opposite of the null hypothesis (P &lt;&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.75in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;ANOVA(Analysis Of Variance)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Analysis of variance is a statistical technique for analyzing data that tests for a difference between two or more means. See the tool 1-Way ANOVA&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p style="text-align: justify;" class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Analysis of variance, a calculation procedure to allocate the amount of variation in a process and determine if it is significant or is caused by random noise. A balanced ANOVA has equal numbers of measurements in each group/column. A stacked ANOVA: each factor has data in one column only and so does the response&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p style="text-align: justify;" class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;APQP&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Advanced Production Quality Planning&lt;br /&gt;Advanced Product Quality Planning&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p style="text-align: justify;" class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin: 0in 0in 12pt 0.25in; text-align: justify;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;AQL&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin: 0in 0in 12pt 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Acceptable Quality Level. Also referred to as Assured Quality Level. The largest percentage of defectives that can make the lot definitely acceptable; Customer will definitely prefer the zero defect products or services. There is only one ideal acceptable quality level - zero defects - all others are compromises based upon acceptable business, financial and safety levels.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;form&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Assurance&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Establishing and maintaining a degree of confidence internally and externally.&lt;br /&gt;&lt;br /&gt;Alternate definition:&lt;br /&gt;Establishing and maintaining the commitments made to Internal and External Customers.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;h1&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Attribute Data&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/h1&gt;  &lt;p class="MsoNormal"&gt;&lt;span lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;As opposed to continuous data (quantitative) like time, money, length, etc., attribute data (also called discrete data or qualitative data) is classified as either good or bad, success or failure, off or on. It's binominal data that isn't easily analysed with six sigma tools (which have been designed more for the manufacturing area with its quantitative processes). Many tools and tests can't be performed.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Audit&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoBodyTextIndent"&gt;&lt;span style="font-family: Georgia;" lang="EN-AU"&gt;A timely process or system, inspection to ensure that specifications conform to documented quality standards. An Audit also brings out discrepancies between the documented standards and the standards followed and also might show how well or how badly the documented standards support the processes currently followed.&lt;br /&gt;Corrective, Preventive &amp;amp; Improvement Actions should be undertaken to mitigate the gap(s) between what is said (documented), what is done and what is required to comply with the appropriate quality standard.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Average Incoming Quality&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;AIQ - Average Incoming Quality: This is the average quality level going into the inspection point.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Average Outgoing Quality&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoBodyTextIndent"&gt;&lt;span style="font-family: Georgia;" lang="EN-AU"&gt;AOQ - Average Outgoing Quality: The average quality level leaving the inspection point after rejection and acceptance of a number of lots. If rejected lots are not checked 100% and defective units removed or replaced with good units, the AOQ will be the same as the AOQ&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;/form&gt;  &lt;/div&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin: 0in 0in 12pt 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Bar Chart&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;/div&gt;&lt;p class="MsoNormal" style="margin: 0in 0in 12pt 0.25in; text-align: justify;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;A bar chart is a graphical comparison of several quantities in which the lengths of the horizontal or vertical bars and represents&lt;span style=""&gt;  &lt;/span&gt;the relative magnitude of the values.&lt;span style=""&gt;   &lt;/span&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: justify;"&gt;  &lt;form&gt;    &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;BAU&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;br /&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;/span&gt;&lt;/p&gt;&lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt; "Business As Usual" The old way of doing business, considering repetitive tasks with no critical sense of improvement&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Benchmarking&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The concept of discovering what is the best performance being achieved, whether in your company, by a competitor, or by an entirely different industry.&lt;br /&gt;&lt;br /&gt;Benchmarking is an improvement tool whereby a company measures its performance or process against other companies' best practices, determines how those companies achieved their performance levels, and uses the information to improve its own performance.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Best Practice&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A lesson learned from one area of a business that can be passed on to another area of the business or between businesses. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Beta risk&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Beta risk is defined as the risk of accepting the null hypothesis when, in fact, the alternate hypothesis is true. In other words, stating no difference exists when there is an actual difference. A statistical test should be capable of detecting difference&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Bias&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Bias in a sample is the presence or influence of any factor that causes the population or process being sampled to appear different from what it actually is. Bias is introduced into a sample when data is collected without regard to key factors that may in&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Black Belt&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Full time team leaders responsible for implementing process improvement projects (dmaic or dmadv) within the business -- to drive customer satisfaction levels and business productivity up.&lt;br /&gt;&lt;br /&gt;The Black Belt represents the beginning, the start of a never ending journey of discipline, work, and the pursuit of an ever-higher standard&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Black Noise&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Special cause variation in a process and not anything else.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Blocking&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Blocking neutralizes background variables that can not be eliminated by randomizing. It does so by spreading them across the experiment&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Boxplot&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A box plot, also known as a box and whisker diagram, is a basic graphing tool that displays centering, spread, and distribution of a continuous data set&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Brainstorming&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A method to generate ideas. Groundrules such as -no idea is a bad idea- are typical. Benefit of brainstorming is the power of the group in building ideas of each others ideas.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Business Value Added&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A step or change made to the product which is necessary for future or subsequent steps but is not noticed by the final customer.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Business Process Quality Management&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Also called Process Management or Reengineering. The concept of defining macro and micro processes, assigning ownership, and creating responsibilities of the owners.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Capability Analysis&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Capability analysis is a MinitabTM tool that visually compares actual process performance to the performance standards..&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Cause&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A factor (X) that has an impact on a response variable (Y); a source of variation in a process or product&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Cause and Effect Diagram&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A cause and effect diagram is a visual tool used to logically organize possible causes for a specific problem or effect by graphically displaying them in increasing detail. It helps to identify root causes and ensures common understanding of the causes.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Center&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The center of a process is the average value of its data. It is equivalent to the mean and is one measure of the central tendency.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Center points&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A center point is a run performed with all factors set halfway between their low and high levels. Each factor must be continuous to have a logical halfway point. For example, there are no logical center points for the factors vendor, machine, or location&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Central Limit Theorem&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The central limit theorem states that given a distribution with a mean m and variance s2, the sampling distribution of the mean approaches a normal distribution with a mean and variance/N as N, the sample size, increases.&lt;br /&gt;&lt;br /&gt;The central limit theorem explains why many distributions tend to be close to the normal distribution.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;Central Tendency&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The numerical average (e.g. mean, median or mode) of a process distribution. Can also be displayed as the centerline of a process control chart.&lt;br /&gt;&lt;br /&gt;An indication of the location or centrality of the data. The most common measures of central tendency are: mean (numerical average), median (the midpoint of an order data set such that half of the data points are above and half are below it) and the mode (the value that occurs most frequently)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Champion&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Business leaders and senior managers who ensure that resources are available for training and projects, and who are involved in project tollgate reviews.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Characteristic&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A characteristic is a definable or measurable feature of a process, product, or variable.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Charter&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A document or sheet that clearly scopes and identifies the purpose of a Quality improvement project. Items specified include background case, purpose, team members, scope, timeline.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Chi Square Test&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The Chi Square Test is a statistical goodness-of-fit-test used to test the assumption that the distribution of a set of data is similar to the expected distribution, such as a normal distribution.&lt;br /&gt;&lt;br /&gt;A chi square test, also called "test of association," is a statistical test of association between discrete variables. It is based on a mathematical comparison of the number of observed counts with the number of expected counts to determine if there is a difference.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Common Cause Variation&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Common cause variation is fluctuation caused by unknown factors resulting in a steady but random distribution of output around the average of the data. It is a measure of the process potential, or how well the process can perform when special cause variation removed.&lt;br /&gt;&lt;br /&gt;Common cause variability is a source of variation caused by unknown factors that result in a steady but random distribution of output around the average of the data. Common cause variation is a measure of the process's potential, or how well the process can perform when special cause variation is removed. Therefore, it is a measure of the process technology. Common cause variation is also called random variation, noise, no controllable variation, within-group variation, or inherent variation. Example: Many X's with a small impact.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Confidence band (or interval)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Measurement of the certainty of the shape of the fitted regression line. A 95% confidence band implies a 95% chance that the true regression line fits within the confidence bands. Measurement of certainty.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Confidence Interval&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;How "wide" you have to cast your "net" to be sure of capturing the true population parameter. If my estimate of defects is 10%, I might also say that my 95% Confidence Interval is plus or minus 2%, meaning that odds are 95 out of 100 hundred that the true population parameter is somewhere between 8 and 12%.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Dashboard&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A dashboard is a tool used for collecting and reporting information about vital customer requirements and your business's performance for key customers. Dashboards provide a quick summary of process performance&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Data&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Data is factual information used as a basis for reasoning, discussion, or calculation; often this term refers to quantitative information&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Defect&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A defect is any nonconformity in a product or process; it is any event that does not meet the performance standards of a Y.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Defective&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The word defective describes an entire unit that fails to meet acceptance criteria, regardless of the number of defects within the unit. A unit may be defective because of one or more defects.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Defects Per Unit – DPU&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;DPU or Defects Per Unit is simply as the nomenclature would suggest. How many defects can we expect to find in a single unit based on our process capability? Consider 100 loan applications. Also consider that there are 3 opportunities for error/defect in each application. If out of the 100 loans applications there are 30 defects, the FTYis .70 or 70 percent. Further investigation finds that 10 of the 70 had to be reworked to achieve that yield so our Rolled Throughput Yield is 100-(30+10)/100 = .6 or 60 percent yield.&lt;br /&gt;&lt;br /&gt;To consider the defects per unit in this process we divide the number of defects by the result of multiplying the sample by the number of opportunities in each item.&lt;br /&gt;&lt;br /&gt;No.of defects/(no. of units)*(no. of opportunities for a defect)= 30/100*3 = 30/300 = .1 or we would say that there is a 10 percent chance for a defect to occur in this process.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Descriptive statistics&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Descriptive statistics is a method of statistical analysis of numeric data, discrete or continuous, that provides information about centering, spread, and normality. Results of the analysis can be in tabular or graphic format.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Design for Six Sigma – DFSS&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Design for Six Sigma. Same as DMADV (below).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Design of Experiments&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;1 - Conducting and analyzing controlled tests to evaluate the factors that control the value of a parameter or group of parameters.&lt;br /&gt;&lt;br /&gt;2- "Design of Experiments" (DoE) refers to experimental methods used to quantify indeterminate measurements of factors and interactions between factors statistically through observance of forced changes made methodically as directed by mathematically systematic tables.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Design Risk Assessment&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A design risk assessment is the act of determining potential risk in a design process, either in a concept design or a detailed design. It provides a broader evaluation of your design beyond just CTQs, and will enable you to eliminate possible failures &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Detectable Effect Size&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;When you are deciding what factors and interactions you want to get information about, you also need to determine the smallest effect you will consider significant enough to improve your process. This minimum size is known as the detectable effect size.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;DF (degrees of freedom)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Equal to: (#rows - 1)(#cols - 1)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Discrete Data&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Discrete data is information that can be categorized into a classification. Discrete data is based on counts. Only a finite number of values is possible, and the values cannot be subdivided meaningfully. For example, the number of parts damaged in shipmen&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Distribution&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Distribution refers to the behavior of a process described by plotting the number of times a variable displays a specific value or range of values rather than by plotting the value itself.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;DMADV&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;DMADV is a data-driven quality strategy for designing products and processes, and it is an integral part of a Six Sigma Quality Initiative. DMADV consists of five interconnected phases: Define, Measure, Analyze, Design, and Verify.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;DMAIC (&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Pronounced (Duh-May-Ick&lt;span style="color: rgb(51, 51, 153);"&gt;).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(51, 51, 153);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Define, Measure, Analyze, Improve, Control. Incremental process improvement using Six Sigma methodology. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;DOE&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A design of experiment is a structured, organized method for determining the relationship between factors (Xs) affecting a process and the output of that process.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;DPMO&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Defects per million opportunities (DPMO) is the number of defects observed during a standard production run divided by the number of opportunities to make a defect during that run, multiplied by one million.&lt;br /&gt;&lt;br /&gt;Defects Per Million Opportunities. Synonymous with &lt;a href="http://www.isixsigma.com/dictionary/default.asp?letter=p"&gt;PPM&lt;/a&gt;.&lt;br /&gt;&lt;br /&gt;To convert the &lt;a href="http://www.isixsigma.com/dictionary/default.asp?letter=d"&gt;DPU&lt;/a&gt; to DPMO we simply multiply the DPU by 1,000,000.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;DPO&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Defects per opportunity (DPO) represents total defects divided by total opportunities. DPO is a preliminary calculation to help you calculate DPMO (defects per million opportunities). Multiply DPO by one million to calculate DPMO.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;DPU&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Defects per unit (DPU) represents the number of defects divided by the number of products.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Dunnett's (1-way ANOVA)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Check to obtain a two-sided confidence interval for the difference between each treatment mean and a control mean. Specify a family error rate between 0.5 and 0.001. Values greater than or equal to 1.0 are interpreted as percentages. The default error rat&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;ECO&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Engineer Change Order... Engineering changes in procedures that will be implemented in a new revision of a procedure.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;ECR&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Engineering Change Request...A request or suggestion, by any employee, to Engineering, for an improvement in a process or procedure.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Effect&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An effect is that which is produced by a cause; the impact a factor (X) has on a response variable (Y).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Empowerment&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A series of actions designed to give employees greater control over their working lives. Businesses give employees empowerment to motivate them according to the theories of Abraham Maslow and Fredrick Herzberg.&lt;br /&gt;&lt;br /&gt;To invest with power or give authority to complete. To empower employees.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Entitlement&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;As good as a process can get without capital investment&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Erroneous&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;As defined by 'Harbour (2002)' an econometric technique that is purposely executed incorrectly to establish the consequences of poor technique. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Error&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Error, also called residual error, refers to variation in observations made under identical test conditions, or the amount of variation that can not be attributed to the variables included in the experiment.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Error (type I)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Error that concludes that someone is guilty, when in fact, they really are not. (Ho true, but I rejected it--concluded Ha) ALPHA&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Error (type II)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Error that concludes that someone is not guilty, when in fact, they really are. (Ha true, but I concluded Ho). BETA&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Facilitate&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;To make easy or easier. Often referred to as a facilitator or one who makes meetings more efficient.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Factor&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A factor is an independent variable; an X.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;FMEA - Failure Mode and Effect Analysis&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Failure mode and effects analysis (FMEA) is a disciplined approach used to identify possible failures of a product or service and then determine the frequency and impact of the failure. See the tool Failure Mode and Effects Analysis.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A procedure and tools that helps identify every possible failure mode of a process or product to determine its effect on other sub-items and on the required function of the product or process.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;First Time Yield – FTY&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;First Time Yield (FTY) is simply the number of good units produced divided by the number of total units going into the process. For example:&lt;br /&gt;&lt;br /&gt;You have a process of that is divided into four sub-processes - A, B, C and D. Assume that you have 100 units entering process A. To calculate FTY you would:&lt;br /&gt;&lt;br /&gt;1. Calculate the yield (number out of step/number into step) of each step. 2. Multiply these together.&lt;br /&gt;&lt;br /&gt;For Example:&lt;br /&gt;&lt;br /&gt;100 units enter A and 90 leave. The FTY for process A is 90/100 = .9&lt;br /&gt;&lt;br /&gt;90 units go into B and 80 units leave. The FTY for process B is 80/90 = .89&lt;br /&gt;&lt;br /&gt;80 units go into C and 75 leave. The FTY for C is 75/80 = .94&lt;br /&gt;&lt;br /&gt;75 units got into D and 70 leave. The FTY for D is 70/75 = .93&lt;br /&gt;&lt;br /&gt; &lt;!--[if !supportLineBreakNewLine]--&gt;&lt;br /&gt; &lt;!--[endif]--&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;The total process yield is equal to FTY of A * FTYof B * FTY of C * FTY of&lt;span style=""&gt;  &lt;/span&gt;D or .9*.89*.94*.93 = .70.&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;You can also get the total process yield for the entire process by simply dividing the number of good units produced by the number going in to the start of the process. In this case, 70/100 = .70 or 70 percent yield.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Fishbone&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A tool used to solve quality problems by brainstorming causes and logically organizing them by branches. Also called the Cause &amp;amp; Effect diagram and Ishakawa diagram. For more information, view the &lt;a href="http://www.isixsigma.com/tt/cause_and_effect/"&gt;fishbone section&lt;/a&gt;.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Fisher's (1-way ANOVA):&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Check to obtain confidence intervals for all pair wise differences between level means using Fisher's LSD procedure. Specify an individual rate between 0.5 and 0.001. Values greater than or equal to 1.0 are interpreted as percentages. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Fits&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Predicted values of "Y" calculated using the regression equation for each value of "X"&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Fitted value&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A fitted value is the Y output value that is predicted by a regression equation.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Fractional Factorial DOE&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A fractional factorial design of experiment (DOE) includes selected combinations of factors and levels. It is a carefully prescribed and representative subset of a full factorial design. A fractional factorial DOE is useful when the number of potential factors is relatively large because they reduce the total number of runs required. By reducing the number of runs, a fractional factorial DOE will not be able to evaluate the impact of some of the factors independently. In general, higher-order interactions are confounded with main effects or lower-order interactions. Because higher order interactions are rare, usually you can assume that their effect is minimal and that the observed effect is caused by the main effect or lower-level interaction.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Frequency Plot&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A frequency plot is a graphical display of how often data values occur.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Full factorial DOE&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A full factorial design of experiment (DOE) measures the response of every possible combination of factors and factor levels. These responses are analyzed to provide information about every main effect and every interaction effect. A full factorial DOE is practical when fewer than five factors are being investigated. Testing all combinations of factor levels becomes too expensive and time-consuming with five or more factors.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;F-value (ANOVA)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Measurement of distance between individual distributions. As F goes up, P goes down (i.e., more confidence in there being a difference between two means). To calculate: (Mean &lt;st1:placetype st="on"&gt;Square&lt;/st1:placetype&gt; of &lt;st1:placename st="on"&gt;X&lt;/st1:placename&gt; / Mean &lt;st1:place st="on"&gt;&lt;st1:placetype st="on"&gt;Square&lt;/st1:placetype&gt;  of &lt;st1:placename st="on"&gt;Error&lt;/st1:placename&gt;&lt;/st1:place&gt;)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Gage R&amp;amp;R&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Gage R&amp;amp;R, which stands for gage repeatability and reproducibility, is a statistical tool that measures the amount of variation in the measurement system arising from the measurement device and the people taking the measurement. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Gannt Chart&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A Gantt chart is a visual project planning device used for production scheduling. A Gantt chart graphically displays time needed to complete tasks&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Gating&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Gating is the limitation of opportunities for deviation from the proven steps in the manufacturing process. The primary objective is to minimize human error.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;GOAL&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;1 A goal is a targeted value by a design team while building a quality process/product&lt;br /&gt;2 A goal can also be defined as a customer voice&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Goodman-Kruskal Gamma&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Term used to describe % variation explained by X&lt;/span&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;GRPI&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;span style=""&gt;  &lt;/span&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;GRPI stands for four critical and interrelated aspects of teamwork: goals, roles, processes, and interpersonal relationships, and it is a tool used to assess them. &lt;/span&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Green Belt&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;&lt;span style=""&gt; &lt;/span&gt;Business Team Leaders responsible for managing projects and implementing improvement in its own business.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;An employee of an organization who has been trained on the improvement methodology&lt;span style=""&gt;   &lt;/span&gt;of Six Sigma that will lead a process improvement or quality improvement team as *part* of their full time job.&lt;/span&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-align: center;" align="center"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Histogram&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A histogram is a basic graphing tool that displays the relative frequency or occurrence of continuous data values showing which values occur most and least frequently. A histogram illustrates the shape, centering, and spread of data distribution and indic&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A bar graph of a frequency distribution in which the widths of the bars are proportional to the classes into which the variable has been divided and the heights of the bars are proportional to the class frequencies.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Homogeneity of variance&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Homogeneity of variance is a test used to determine if the variances of two or more samples are different. See the tool Homogeneity of Variance.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Horizontalization&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The philosophy of turning companies with traditional silo management systems into ones that are Process orientated.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;House of Quality&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A House of Quality is also called a QFD (Quality Function Deployment).&lt;br /&gt;&lt;br /&gt; &lt;!--[if !supportLineBreakNewLine]--&gt;&lt;br /&gt; &lt;!--[endif]--&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;I-MR Chart&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An I-MR chart, or individual and moving range chart, is a graphical tool that displays process variation over time. It signals when a process may be going out of control and shows where to look for sources of special cause variation. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;span style=""&gt; &lt;/span&gt;In-Control&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;In control refers to a process unaffected by special causes. A process that is in control is affected only by common causes. A process that is out of control is affected by special causes in addition to the common causes affecting the mean and/or variance&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An “In-Control" process is one that is free of assignable/special causes of variation. Such a condition is most often evidence on a control chart which displays an absence of nonrandom variation.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Independent variable&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An independent variable is an input or process variable (X) that can be set directly to achieve a desired output&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Intangible benefits&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Intangible benefits, also called soft benefits, are the gains attributable to your improvement project that are not reportable for formal accounting purposes. These benefits are not included in the financial calculations because they are nonmonetary or ar&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Interaction&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An interaction occurs when the response achieved by one factor depends on the level of the other factor. On interaction plot, when lines are not parallel, there's an interaction.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;st1:place st="on"&gt;&lt;st1:placename st="on"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Interquartile&lt;/span&gt;&lt;/b&gt;&lt;/st1:placename&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt; &lt;st1:placetype st="on"&gt;Range&lt;/st1:placetype&gt;&lt;/span&gt;&lt;/b&gt;&lt;/st1:place&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Difference between the 75th percentile and the 25th percentile.&lt;br /&gt;&lt;br /&gt;The Square root of variance. The standard deviation has the same units as the original data.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Interrelationship digraph&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An interrelationship digraph is a visual display that maps out the cause and effect links among complex, multivariable problems or desired outcomes.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;IQR&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Intraquartile range (from box plot) representing range between 25th and 75th quartile&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Ishikawa, Ichiro&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Japanese Quality professional widely known for the Ishikawa diagram also known as the fishbone or cause and effect diagram.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;ISO 9000 Series of Standards&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Series of standards established in the 1980s by countries of &lt;st1:place st="on"&gt;Western  Europe&lt;/st1:place&gt; as a basis for judging the adequacy of the quality control systems of companies.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Just In Time (JIT) Manufacturing&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A planning system for manufacturing processes that optimizes availability of material inventories at the manufacturing site to only what, when &amp;amp; how much is necessary.&lt;br /&gt;&lt;br /&gt;Typically a JIT Mfg. avoids the conventional Conveyor Systems. JIT is a pull system where the product is pulled along to its finish, rather than the conventional mass production which is a push system. It is possible using various tools like KANBAN, ANDON &amp;amp; CELL LAYOUT.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Kaizen&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Japanese term that means continuous improvement, taken from words "Kai" means change and "zen" means good.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Kanban&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Kanban: A Japanese term. It is one of the primary tools of JIT system. It maintains an orderly and efficient flow of materials throughout the entire manufacturing process. It is usually a printed card that contains specific information such as part name, description, quantity, etc.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;st1:place st="on"&gt;&lt;st1:city st="on"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Kano&lt;/span&gt;&lt;/b&gt;&lt;/st1:city&gt;&lt;/st1:place&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt; Analysis&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;&lt;st1:city st="on"&gt;&lt;st1:place st="on"&gt;Kano&lt;/st1:place&gt;&lt;/st1:city&gt; analysis is a quality measurement used to prioritize customer requirements.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Kruskal-Wallis&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Kruskal-Wallis performs a hypothesis test of the equality of population medians for a one-way design (two or more populations). This test is a generalization of the procedure used by the Mann-Whitney test and, like Mood’s median test, offers a nonparametric&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Kurtosis&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Kurtosis is a measure of how peaked or flat a curve's distribution is.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;L1 Spreadsheet&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An L1 spreadsheet calculates defects per million opportunities (DPMO) and a process Z value for discrete data.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;L2 Spreadsheet&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An L2 spreadsheet calculates the short-term and long-term Z values for continuous data sets.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;LCL&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Lower Control Limit (note different from LSL): similar to Upper Control Limit (q.v.) but representing a downwards 3 x sigma deviation from the mean value of a variable.&lt;b&gt;&lt;span style="color: rgb(0, 24, 148);"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Lean Manufacturing&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Initiative focused on eliminating all waste in manufacturing processes.&lt;br /&gt;&lt;br /&gt;The Production System Design Laboratory (PSD), Massachusetts Institute of Technology (MIT) http://lean2.mit.edu/ states that "Lean production is aimed at the elimination of waste in every area of production including customer relations, product design, supplier networks and factory management. Its goal is to incorporate less human effort, less inventory, less time to develop products, and less space to become highly responsive to customer demand while producing top quality products in the most efficient and economical manner possible."&lt;br /&gt;&lt;br /&gt;Principles of Lean &lt;st1:city st="on"&gt;&lt;st1:place st="on"&gt;Enterprise&lt;/st1:place&gt;&lt;/st1:city&gt;:&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;span style=""&gt;  &lt;/span&gt;Zero waiting time&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;span style=""&gt;  &lt;/span&gt;Zero Inventory&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;span style=""&gt;  &lt;/span&gt;Scheduling -- internal customer pull instead of push system&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;span style=""&gt;  &lt;/span&gt;Batch to Flow -- cut batch sizes&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;span style=""&gt;  &lt;/span&gt;Line Balancing&lt;span style=""&gt;      &lt;/span&gt;&lt;span style=""&gt;                                                      &lt;/span&gt;&lt;span style=""&gt;                        &lt;/span&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;span style=""&gt;  &lt;/span&gt;Cut actual process times&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Leptokurtic Distribution&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A leptokurtic distribution is symmetrical in shape, similar to a normal distribution, but the center peak is much higher; that is, there is a higher frequency of values near the mean. In addition, a leptokurtic distribution has a higher frequency of data&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Levels&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Levels are the different settings a factor can have. For example, if you are trying to determine how the response (speed of data transmittal) is affected by the factor (connection type), you would need to set the factor at different levels (modem and LAN)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Linearity&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Linearity is the variation between a known standard, or "truth," across the low and high end of the gage. It is the difference between an individual's measurements and that of a known standard or truth over the full range of expected values.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;st1:place st="on"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Lot&lt;/span&gt;&lt;/b&gt;&lt;/st1:place&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A collection of individual pieces from a common source, possessing a common set of quality characteristics and submitted as a group for acceptance at one time. (&lt;st1:place st="on"&gt;Lot&lt;/st1:place&gt; size = N).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;LSL&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A lower specification limit is a value above which performance of a product or process is acceptable. This is also known as a lower spec limit or LSL.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;LTPD&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;LTPD - &lt;st1:place st="on"&gt;Lot&lt;/st1:place&gt; Tolerance Percent Defective: the value of incoming quality where it is desirable to reject most lots. The quality level is unacceptable. This is the RQL expressed as a percent defective.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Lurking variable&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A lurking variable is an unknown, uncontrolled variable that influences the output of an experiment.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Malcolm Baldrige National Quality Award&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The annual self-evaluation covers the following seven categories of criteria:&lt;br /&gt;&lt;br /&gt;· Leadership&lt;br /&gt;· Strategic Planning&lt;br /&gt;· Customer and Market Focus&lt;br /&gt;· Information and Analysis&lt;br /&gt;· Human Resource Focus&lt;br /&gt;· Process Management&lt;br /&gt;· Business Results&lt;br /&gt;&lt;br /&gt;The National Institute of Standards and Technology (NIST), a federal agency within the Department of Commerce, is responsible for managing the Malcolm Baldrige National Quality Award. The American Society for Quality (ASQ) administers the Malcolm Baldrige National Quality Award under a contract with NIST.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Main Effect&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A main effect is a measurement of the average change in the output when a factor is changed from its low level to its high level. It is calculated as the average output when a factor is at its high level minus the average output when the factor is at its&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Mallows Statistic (C-p)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Statistic within Regression--&gt;Best Fits which is used as a measure of bias (i.e., when predicted is different than truth). Should equal (#vars + 1)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Mann-Whitney&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Mann-Whitney performs a hypothesis test of the equality of two population medians and calculates the corresponding point estimate and confidence interval. Use this test as a nonparametric alternative to the two-sample t-test.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Master Black Belt-MBB&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Master Black Belts are Six Sigma or quality experts and are responsible for strategic implementations within the business. The Master Black Belt is qualified to teach other Six Sigma facilitators the methodologies, tools, and applications in all functions and levels of the company, and are a resource for utilizing statistical process control within processes.&lt;br /&gt;&lt;br /&gt;The MBB should be available to answer questions as an expert resource, provide guidance, and support (to many teams and projects). The MBB should be in the mode of mentoring, teaching, and coaching. They should be approachable and willing and able to assist BBs when their help is needed.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Mean&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The mean is the average data point value within a data set. To calculate the mean, add all of the individual data points then divide that figure by the total number of data points.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Measurement system analysis&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Measurement system analysis (MSA) is a mathematical method of determining how much the variation within the measurement process contributes to overall process variability.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Median&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The median is the middle point of a data set; 50% of the values are below this point, and 50% are above this point.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Metrics&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Things to measure to understand quality levels.&lt;br /&gt;Metric means measurement. Hence the word metric is often used in an organisation to understand the metrics of the matrix (The trade off).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Mode&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The most often occurring value in the data set&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Moods Median&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Mood’s median test can be used to test the equality of medians from two or more populations and, like the Kruskal-Wallis Test, provides an nonparametric alternative to the one-way analysis of variance. Mood’s median test is sometimes called a median test&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Multicolinearity&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Multicolinearity is the degree of correlation between Xs. It is an important consideration when using multiple regression on data that has been collected without the aid of a design of experiment (DOE). A high degree of multicolinearity produces unacceptable uncertainty (large variance) in regression coefficient estimates. Specifically, the coefficients can change drastically depending on which terms are in or out of the model and also the order they are placed in the model.&lt;br /&gt;&lt;br /&gt;Use Ridge Regression or Partial Least Squares (PLS) Regression to get around these problems if DoE is not an option.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Multiple regression&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Multiple regression is a method of determining the relationship between a continuous process output (Y) and several factors (Xs).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Multi-vari chart&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A multi-vari chart is a tool that graphically displays patterns of variation. It is used to identify possible Xs or families of variation, such as variation within a subgroup, between subgroups, or over time. See the tool Multi-Vari Chart.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Noise&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Process input that consistently causes variation in the output measurement that is random and expected and, therefore, not controlled is called noise. Noise also is referred to as white noise, random variation, common cause variation, noncontrollable vari&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Nominal&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;It refers to the value that you estimate in a design process that approximate your real CTQ (Y) target value based on the design element capacity. Nominals are usually referred to as point estimate and related to y-hat model.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Non-parametric&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Set of tools that avoids assuming a particular distribution.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Normal Distribution&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Normal distribution is the spread of information (such as product performance or demographics) where the most frequently occurring value is in the middle of the range and other probabilities tail off symmetrically in both directions. Normal distribution I&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Normal probability&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Used to check whether observations follow a normal distribution. P &gt; 0.05 = data is normal&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Normality test&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A normality test is a statistical process used to determine if a sample or any group of data fits a standard normal distribution. A normality test can be performed mathematically or graphically. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Null Hypothesis (Ho)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A null hypothesis (H0) is a stated assumption that there is no difference in parameters (mean, variance, DPMO) for two or more populations. According to the null hypothesis, any observed difference in samples is due to chance or sampling error.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;O.C.T. - Operation Cost Target&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;This value represents the maximum expenditure for material, labor, outsourcing, overhead, and all other costs associated with that project. This figure can then be divided between the various operations comprising the manufacturing process, in order to control costs at each step.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-indent: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-indent: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;O.E.M.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-indent: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;&lt;span style=""&gt;      &lt;/span&gt;Original Equipment Manufacturer&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;st1:place st="on"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Opportunity&lt;/span&gt;&lt;/b&gt;&lt;/st1:place&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An opportunity is anything that you inspect, measure, or test on a unit that provides a chance of allowing a defect.&lt;span style=""&gt;  &lt;/span&gt;In simple words an opportunity means ,any event that can be measured.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Any area within a product, process, service, or other system where a defect could be produced or where you fail to achieve the ideal product in the eyes of the customer. In a product, the areas where defects could be produced are the parts or connection of parts within the product. In a process, the areas are the value added process steps. If the process step is not value added, such as an inspection step, then it is not considered an opportunity. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Optimization&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Adjusting the system or process inputs to produce the best possible average response with minimum variability.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;OSHA&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Occupational Safety and Health Administration.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Outlier&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An outlier is a data point that is located far from the rest of the data. Given a mean and standard deviation, a statistical distribution expects data points to fall within a specific range. Those that do not are called outliers and should be investigated&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Output&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The result of a process. The deliverables of the process; such as products, services, processes, plans, and resources.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;P Value&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The probability value (p-value) of a statistical hypothesis test is the probability of getting a value of the test statistic as extreme as or more extreme than that observed by chance alone, if the null hypothesis Ho, is true.&lt;br /&gt;&lt;br /&gt;It is the probability of wrongly rejecting the null hypothesis if it is in fact true.&lt;br /&gt;&lt;br /&gt;It is equal to the significance level of the test for which we would only just reject the null hypothesis. The p-value is compared with the desired significance level of our test and, if it is smaller, the result is significant. That is, if the null hypothesis were to be rejected at the 5% significance level, this would be reported as "p &lt; 0.05".&lt;br /&gt;&lt;br /&gt;Small p-values suggest that the null hypothesis is unlikely to be true. The smaller it is, the more convincing the evidence is that null hypothesis is false. It indicates the strength of evidence for say, rejecting the null hypothesis H0, rather than simply concluding "Reject Ho" or "Do not reject Ho".&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Pareto&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A bar chart that displays by frequency, in descending order, the most important defects.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Passion for Action – PFA&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Passion for Action is the outward expression of Highly Motivated Professionals Dedicated to the Improvement of Quality in All Aspects of Service and Manufacturing Companies. PFA is a characteristic of highly Successful Companies as it permeates all activities at all levels of the business culture. An organization containing PFA will develop an Enterprise-Wide Current that continuously pulls the organization to its next performance level. The concept was coined by Organizational Change Agent Consultant Rick Carangelo.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Percent of tolerance&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Percent of tolerance is calculated by taking the measurement error of interest, such as repeatability and/or reproducibility, dividing by the total tolerance range, then multiplying the result by 100 to express the result as a percentage.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Pi&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Pi (TM) Perpetual Improvement is the Manufacturing Management System, designed by David Wilkerson, in which each team member continuously seeks to improve every system, process, and procedure, as well as her/his performance in the manufacturing unit. Step-by-step instructions facilitate this process.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Platykurtic Distribution&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A platykurtic distribution is one in which most of the values share about the same frequency of occurrence. As a result, the curve is very flat, or plateau-like. Uniform distributions are platykurtic.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Poka Yoke&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Japanese term which means mistake proofing. A poka yoke device is one that prevents incorrect parts from being made or assembled, or easily identifies a flaw or error.&lt;br /&gt;&lt;br /&gt;To avoid (yokeru) inadvertent errors (poka).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Pooled Standard Deviation&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Pooled standard deviation is the standard deviation remaining after removing the effect of special cause variation-such as geographic location or time of year. It is the average variation of your subgroups.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Population&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The entire collection of items that is the focus of concern.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Population Defect Rate&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The true proportion of defects in the population. This is usually estimated by a sample, rather than getting true population data. Since estimates are less than perfect, it is common to indicate how imperfect they are.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;PPAP&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Production Part Approval Process&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Ppk&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;&lt;br /&gt;Ppk represents the actual, or overall, capability of the process.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;PPM&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Parts Per Million. Typically used in the context of defect Parts Per Million opportunities. Synonymous with &lt;a href="http://www.isixsigma.com/dictionary/default.asp?letter=d"&gt;DPMO&lt;/a&gt;.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Precision&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Lack of variation in your measurement. Can be measured in terms of the standard deviation of your measurement system. Has nothing to do with accuracy, which is lack of bias. A precise rifle will shoot small groups. An accurate rifle is properly sighted in.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Prediction Band (or interval)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Measurement of the certainty of the scatter about a certain regression line. A 95% prediction band indicates that, in general, 95% of the points will be contained within the bands.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Probability&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Probability refers to the chance of something happening, or the fraction of occurrences over a large number of trials. Probability can range from 0 (no chance) to 1 (full certainty).&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Probability of Defect&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Probability of defect is the statistical chance that a product or process will not meet performance specifications or lie within the defined upper and lower specification limits. It is the ratio of expected defects to the total output and is expressed as&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Process&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A series of steps or actions that lead to a desired result or output.&lt;br /&gt;&lt;br /&gt;A set of common tasks that creates a product, service, process, or plan that will satisfy a customer or group of customers.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Process Capability&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Process capability refers to the ability of a process to produce a defect-free product or service. Various indicators are used-some address overall performance, some address potential performance.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Process Instance&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An instance of a process (e.g. the production of a specific purchase order is one instance of the purchasing process)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Process Management&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Also called Business Process Quality Management or Reengineering. The concept of defining macro and micro processes, assigning ownership, and creating responsibilities of the owners.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Process Map&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A visual representation of the work-flow either within a process - or an image of the whole operation. One differentiates between "30,000 feet overviews", "Medium image" or "homing in", "zooming in", "Micro Map" &amp;amp;c. A good Process Map should allow people unfamiliar with the process to understand the interaction of causes during the work-flow. A good Process Map should contain additional information relating to the Six Sigma project i.e. information per critical step about input and output variables, time, cost, DPU value. A program for creation of Process Maps is Microsoft Visio.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Process Performance Management&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The overseeing of process instances to ensure their quality and timeliness. Can also include proactive and reactive actions to ensure a good result.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Producers Risk&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Concluding something is good when it is actually bad (TYPE I Error)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Productivity Target&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Each operation in the manufacturing process is assigned a Productivity Target value. This value represents the minimum number of conformant products (value-added entities) per designated period. (See also Value-Added)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Project Scope&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Defined and specific project beginning and end points. The more specific the details (what's in-scope and what's out of scope, the less a project may experience "scope creep."&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;p-value&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The p-value measures how unusual or large a statistical test result is with respect to some statement of no difference or effect. A p-value close to zero signals a difference is very likely to exist, while large p-values closer to 1 implies that there is no detectable difference for the sample size used.&lt;br /&gt;&lt;br /&gt;More specifically, the p-value of a statistical significance test represents the probability of obtaining values of the test statistic that are equal to or greater in magnitude than the observed test statistic. To calculate a p-value, collect sample data and calculate the appropriate test statistic for the test you are performing. For example, t-statistic for testing means, Chi-Square or F statistic for testing variances etc. Using the theoretical distribution of the test statistic, find the area under the curve (for continuous variables) in the direction(s) of the alternative hypothesis using a look up table or integral calculus. In the case of discrete variables, simply add up the probabilities of events occurring in the direction(s) of the alternative hypothesis that occur at and beyond the observed test statistic value.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Q1&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;25th percentile (from box plot)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Q3&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;75th percentile (from box plot)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;QFD(&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Quality Function Deployment)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Quality Function Deployment (QFD) is a systematic process for motivating a business to focus on its customers. It is used by cross-functional teams to identify and resolve issues involved in providing products, processes, services and strategies which will more than satisfy their customers. A prerequisite to QFD is Market Research. This is the process of understanding what the customer wants, how important these benefits are, and how well different providers of products that address these benefits are perceived to perform. This is a prerequisite to QFD because it is impossible to consistently provide products which will attract customers unless you have a very good understanding of what they want.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Qualitative data&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Discrete data&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Quality Assurance&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A planned and systematic pattern of all actions necessary to provide adequate confidence that the product optimally fulfils customer''s expectations.&lt;br /&gt;&lt;br /&gt;A planned and systematic set of activities to ensure that requirements are clearly established and the defined process complies to these requirements.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Quality Control&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Also called statistical quality control. The managerial process during which actual process performance is evaluated and actions are taken on unusual performance.&lt;br /&gt;It is a process to ensure whether a product meets predefined standards and requisite &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Quality Improvement&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The organized creation of beneficial changes in process performance levels.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Quality Target&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Each operation in the manufacturing process, which has an effect on the conformance of the end product to the customer's specifications, is assigned a Quality Target value. This value represents the maximum allowable discrepancies per 1,000 opportunities. (See also &lt;st1:place st="on"&gt;Opportunity&lt;/st1:place&gt;)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Quantitative data&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Continuous data&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="text-indent: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Radar Chart&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A radar chart is a graphical display of the differences between actual and ideal performance. It is useful for defining performance and identifying strengths and weaknesses.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Random Sample&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A data point taken at random from the universe or population of your process. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Randomization&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Running experiments in a random order, not the standard order in the test layout. Helps to eliminate effect of "lurking variables", uncontrolled factors whihc might vary over the length of the experiment.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Range&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The difference or interval between the smallest (or lowest) and largest (or highest) values in a frequency distribution.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Rational Subgroup&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A rational subgroup is a subset of data defined by a specific factor such as a stratifying factor or a time period. Rational subgrouping identifies and separates special cause variation (variation between subgroups caused by specific, identifiable factors&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Reengineering&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Also called Business Process Quality Management or Process Management. The concept of defining macro and micro processes, assigning ownership, and creating responsibilities of the owners.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Regression&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The relationship between the mean value of a random variable and the corresponding values of one or more independent variables.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Regression analysis&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Regression analysis is a method of analysis that enables you to quantify the relationship between two or more variables (X) and (Y) by fitting a line or plane through all the points such that they are evenly distributed about the line or plane. Visually,&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Repeatability&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Repeatability is the variation in measurements obtained when one person takes multiple measurements using the same techniques on the same parts or items.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Replicates&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Number of times you ran each corner. Ex. 2 replicates means you ran one corner twice.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Replication&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Replication occurs when an experimental treatment is set up and conducted more than once. If you collect two data points at each treatment, you have two replications. In general, plan on making between two and five replications for each treatment. Replica&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Reproducibility&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Reproducibility is the variation in average measurements obtained when two or more people measure the same parts or items using the same measuring technique.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Residual&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A residual is the difference between the actual Y output value and the Y output value predicted by the regression equation. The residuals in a regression model can be analyzed to reveal inadequacies in the model. Also called "errors"&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Resolution&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Resolution is a measure of the degree of confounding among effects. Roman numerals are used to denote resolution. The resolution of your design defines the amount of information that can be provided by the design of experiment. As with a computer screen,&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Response&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A reaction, as that of an organism or a mechanism, to a specific stimulus.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Robust&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Insensitivity of a process output to the variation of the process inputs.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Robust Process&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A robust process is one that is operating at 6 sigma and is therefore resistant to defects. Robust processes exhibit very good short-term process capability (high short-term Z values) and a small Z shift value. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Robustness&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The characteristic of the process output or response to be insensitive to the variation of the inputs. Setting the process targets using the process interactions increases the likelihood of the process exhibiting robustness.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Rolled Throughput Yield – RTY&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Rolled Throughput Yield (RTY) is the probability that a single unit can pass through a series of process steps free of defects.&lt;br /&gt;&lt;br /&gt;Next we will turn our attention to a Rolled Throughput Yield example.&lt;span style=""&gt;  &lt;/span&gt;First Time Yield&lt;span style=""&gt;  &lt;/span&gt;(FTY) considereS only what went into a process step and what went out. Rolled Throughput Yield adds the consideration of rework. Using the previous example:&lt;br /&gt;&lt;br /&gt;Process A = 100 units in and 90 out Process B = 90 in and 80 out Process C = 80 in and 75 out Process D = 75 in and 70 out.&lt;br /&gt;&lt;br /&gt;If in order to get the yield out of each step we had to do some rework (which we probably did) then it really looks more like this:&lt;br /&gt;&lt;br /&gt;Process A = 100 units, 10 scrapped and 5 reworked to get the 90. The calculation becomes 100-(10+5)/100 = 85/100 = .85 This is the true yield when you consider rework and scrap.&lt;br /&gt;&lt;br /&gt;Process B = 90 units in, 10 scrapped and 7 reworked to get the 80. 90-(10+7)/90 = .81&lt;br /&gt;&lt;br /&gt;Process C = 80 units in, 5 scrapped and 3 reworked to get the 75. 80-(5+3)/80 = .9&lt;br /&gt;&lt;br /&gt;Process D = 75 units in, 5 scrapped and 10 reworked to get the 70. 75-(5+10)/75 = .8&lt;br /&gt;&lt;br /&gt;Now to get the true Rolled Throughput Yield (Considering&lt;span style=""&gt;  &lt;/span&gt;both&lt;span style=""&gt;  &lt;/span&gt;scrap and the rework necessary to attain what we thought was first time throughput yield) we find that the true yield has gone down significantly:&lt;br /&gt;&lt;br /&gt;.85*.81*.9*.8 = .49572 or Rounded to the nearest digit, 50% yield. A substantially worse and substantially truer measurement of the process capability.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Root Cause&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A factor that caused a non-conformance and should be permanently eliminated through process improvement.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;RQL&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;RQL - Rejectable Quality Level: generic term for the incoming quality level for which there is a low probability of accepting the lot. The quality level is substandard.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;R-squared&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A mathematical term describing how much variation is being explained by the X. FORMULA: R-sq = SS(regression) / SS(total)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;R-squared (adj)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Unlike R-squared, R-squared adjusted takes into account the number of X's and the number of data points. FORMULA: R-sq (adj) = 1 - [(SS(regression)/DF(regression)) / (SS(total)/DF(total))]&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Takes into account the number of X's and the number of data points...also answers: how much of total variation is explained by X.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Run Chart&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A performance measure of a process over a specified period of time used to identify trends or patters.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;S.M.A.R.T.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Specific, Measurable, Attainable, Relevant and Time-bound.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Sample&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A Sample is a portion of the whole collection of items (population).&lt;br /&gt;An estimate of a larger group of people or items; also called a subgroup&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;A portion or subset of units taken from the population whose characteristics that would be used for analysis are considered to be identical with a notion that any unit can represent the population.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Sample Sign Test&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Tests the probability of sample median being equal to hypothesized value.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Sample Size Calc.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The sample size calculator is a spreadsheet tool used to determine the number of data points, or sample size, needed to estimate the properties of a population. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Sampling&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Sampling is the practice of gathering a subset of the total data available from a process or a population&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Scatter plot&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A scatter plot, also called a scatter diagram or a scattergram, is a basic graphic tool that illustrates the relationship between two variables. The dots on the scatter plot represent data points. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Scorecard&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A scorecard is an evaluation device, usually in the form of a questionnaire, that specifies the criteria your customers will use to rate your business's performance in satisfying their requirements.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Screening&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;An inspection step in the process, designed to distinguish between good and bad products. It utilizes an attribute measuring method.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Screening DOE&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A screening design of experiment (DOE) is a specific type of a fractional factorial DOE. A screening design is a resolution III design, which minimizes the number of runs required in an experiment. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Segmentation&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Segmentation is a process used to divide a large group into smaller, logical categories for analysis. Some commonly segmented entities are customers, data sets, or markets&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;Segmentation involves dividing process data into segments. For example, you may collect the cause of defects of a process and place the data into a pareto chart. The pareto chart then displays the segmentation...type A defects are 50%, type B defects are 30% and type C defects are 10%. These are possible ways to segment the data.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;S-hat Model&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;It describes the relationship between output variance and input nominals&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Ship Date&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Ship Date is the latest date an order can depart the manufacturing facility&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Sigma&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The Greek letter s (sigma) refers to the standard deviation of a population. Sigma, or standard deviation, is used as a scaling factor to convert upper and lower specification limits to Z. Therefore, a process with three standard deviations between its me&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Sigma Level&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Determining sigma levels of processes (one sigma, six sigma, etc.) allows process performance to be compared throughout an entire organization, because it is independent of the process. It is merely a determination of opportunities and defects, however the terms are appropriately defined for that specific process.&lt;br /&gt;&lt;br /&gt;Sigma is a statistical term that measures how much a process varies from perfection, based on the number of defects per million units.&lt;br /&gt;&lt;br /&gt;One Sigma&lt;span style=""&gt;    &lt;/span&gt;= 690,000 per million units&lt;br /&gt;Two Sigma&lt;span style=""&gt;    &lt;/span&gt;= 308,000 per million units&lt;br /&gt;Three Sigma&lt;span style=""&gt;  &lt;/span&gt;= 66,800 per million units&lt;br /&gt;Four Sigma&lt;span style=""&gt;    &lt;/span&gt;= 6,210 per million units&lt;br /&gt;Five Sigma&lt;span style=""&gt;     &lt;/span&gt;= 230 per million units&lt;br /&gt;Six Sigma&lt;span style=""&gt;       &lt;/span&gt;= 3.4 per million units&lt;br /&gt;&lt;br /&gt;In formulae for control limits and process capabilities, sigma is the symbol for Standard Deviation, calculated from the squares of the deviations of measured samples from the mean value (or sometimes by other methods using 'magic' numbers). For a normally distributed output, 99.7% would be expected to fall between +/-(3 x sigma) levels.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;SIPOC&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;SIPOC stands for suppliers, inputs, process, output, and customers. You obtain inputs from suppliers, add value through your process, and provide an output that meets or exceeds your customer's requirements.&lt;br /&gt;&lt;br /&gt;Supplier-Input-Process-Output-Customer: Method that helps you not to forget something when mapping processes.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Six Sigma&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Six Sigma is a methodology that provides businesses with the tools to improve the capability of their business processes. This increase in performance and decrease in process variation leads to defect reduction and vast improvement in profits, employee morale and quality of product.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Skewness&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Most often, the median is used as a measure of central tendency when data sets are skewed. The metric that indicates the degree of asymmetry is called, simply, skewness. Skewness often results in situations when a natural boundary is present. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Span&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A measure of variation for "S-shaped" fulfilment Y's&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Special Cause Variation&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Unlike common cause variability, special cause variation is caused by known factors that result in a non-random distribution of output. Also referred to as "exceptional" or "assignable" variation. Example: Few X's with big impact.&lt;br /&gt;&lt;br /&gt;Special cause variation is a shift in output caused by a specific factor such as environmental conditions or process input parameters. It can be accounted for directly and potentially removed and is a measure of process control.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Specification&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Customer's expectation for product or service deliverable/output.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Spread&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The spread of a process represents how far data points are distributed away from the mean, or center. Standard deviation is a measure of spread.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;SS Process Report&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;&lt;br /&gt;The Six Sigma process report is a Minitab™ tool that calculates process capability and provides visuals of process performance. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;SS Product Report&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The Six Sigma product report is a Minitab™ tool that calculates the DPMO and short-term capability of your process. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Stability&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Stability represents variation due to elapsed time. It is the difference between an individual's measurements taken of the same parts after an extended period of time using the same techniques.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Stable Process&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A process that does not contain any special cause variation -- it only contains common cause variation. Common cause variation is that which is normal to the process and doesn't change over time.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Stakeholder&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;People who will be affected by the project or can influence it but who are not directly involved with doing the project work. Examples are Managers affected by the project, Process Owners, People who work with the process under study, Internal departments that support the process, customers, suppliers, and financial department.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Standard Deviation&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A statistic used to measure the variation in a distribution. Sample standard deviation is equal to the square root of (the sum of the squared deviations of the mean divided by the sample size minus 1). Where the whole population is known, the minus 1 "fudge factor" should be omitted.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;The Standard Deviation is the square root of (the sum of the squared deviations from the mean, divided by the sample size minus one).&lt;br /&gt;In formulae it is often represented by the letters SD or the symbol (Greek letter) sigma.&lt;br /&gt;Although it is closely related to, and used in calculations for, the Sigma level of a process you need to be careful to distinguish the two meanings.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Standard Deviation (s)&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;&lt;br /&gt;Standard deviation is a measure of the spread of data in relation to the mean. It is the most common measure of the variability of a set of data. If the standard deviation is based on a sampling, it is referred to as "s.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Standard Order&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Design of experiment (DOE) treatments often are presented in a standard order. In a standard order, the first factor alternates between the low and high setting for each treatment. The second factor alternates between low and high settings every two treat&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Statistic &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Any number calculated from sample data, describes a sample characteristic&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A numerical value, such as standard deviation or mean, that characterizes the sample or population from which it was derived.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Statistical Process Control (SPC)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Statistical process control is the application of statistical methods to analyze and control the variation of a process.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Statistics&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Stratification&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A stratifying factor, also referred to as stratification or a stratifier, is a factor that can be used to separate data into subgroups. This is done to investigate whether that factor is a significant special cause factor.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Stratification involves looking at process data and splitting it into distinct layers (almost like rock is stratified). By looking at the stratified data, you can then possible see different processes.&lt;br /&gt;&lt;br /&gt;For instance, you may process loans at your company. Once you stratify by loan size (e.g. less than 10 million, greater than 10 million), you may see that the central tendency metrics are completely different which would indicate that you have two entirely different processes...maybe only one of the processes is broken.&lt;br /&gt;&lt;br /&gt;Stratification is related to, but different from, Segmentation.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Sub-Group&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A distinct group within a group; a subdivision or subset of a group.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;System Audit&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;System Audit - Also called Process Audit: can be conducted for any activity. Usually made against a specific document such as operating procedure, work instruction, training manual, etc.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Taguchi Method&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A technique for designing and performing experiments to investigate processes where the output depends on many factors (variables; inputs) without having to tediously and uneconomically run the process using all possible combinations of values of those variables. By systematically choosing certain combinations of variables it is possible to separate their individual effects.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Team Leader&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Each work cell is supervised by a Team Leader, who is responsible for maintaining optimal quality and productivity. Generally, this is a top-level technician who also is a natural leader. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Throughput&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Output or production, as of a computer program, over a period of time.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;st1:place st="on"&gt;&lt;st1:placename st="on"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Tolerance&lt;/span&gt;&lt;/b&gt;&lt;/st1:placename&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt; &lt;st1:placetype st="on"&gt;Range&lt;/st1:placetype&gt;&lt;/span&gt;&lt;/b&gt;&lt;/st1:place&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Tolerance range is the difference between the upper specification limit and the lower specification limit&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Total Observed Variation&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Total observed variation is the combined variation from all sources, including the process and the measurement system.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Total Prob of Defect&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The total probability of defect is equal to the sum of the probability of defect above the upper spec limit-p(d), upper-and the probability of defect below the lower spec limit-p(d), lower.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Total Quality Management&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A short label for the list of prerequisites for achieving world-class quality. Use began in the last half of the twentieth century. Although there is no agreement on what were the essential elements of TQM, many use the criteria of the Malcolm Baldrige National Quality Award.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Transfer function&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;A transfer function describes the relationship between lower level requirements and higher level requirements. If it describes the relationship between the nominal values, then it is called a y-hat model. If it describes the relationship between the variables&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Transformations&lt;/span&gt;&lt;/b&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Used to make non-normal data look more normal.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Trimmed Mean&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Compromise between the mean and median. The Trimmed Mean is calculated by eliminating a specific percentage of the smallest and largest observation from the data set and then calculating the average of the remaining observation. It is useful for data with potential extreme values.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Trivial many&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The trivial many refers to the variables that are least likely responsible for variation in a process, product, or service.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;TRIZ&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;TRIZ is a methodology employed in Design for Six-Sigma (DFSS) for identifying design alternatives.&lt;br /&gt;&lt;br /&gt;TRIZ (pronounced "TREEZ", the Russian acronym for the Theory of Inventive Problem Solving) is a unique knowledge-based technology for generating new concepts. The power of TRIZ is based on the understanding of the evolution of successful products, ways to overcome psychological barriers and generalization of the ways used to solve problems in the most innovative inventions. TRIZ involves a systematic analysis of a problem to be solved and the application of a series of guidelines for the generation of solution alternatives.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;T-tes&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;A t-test is a statistical tool used to determine whether a significant difference exists between the means of two distributions or the mean of one distribution and a target value. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;The t test employs the statistic (t), with n-1 degrees of freedom, to test a given statistical hypothesis about a population parameter. Usually used with small sample sizes (&lt;30),&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;&lt;o:p&gt; &lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Tukey's (1-wayANOVA): &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin-left: 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;Check to obtain confidence intervals for all pairwise differences between level means using Tukey's method (also called Tukey's HSD or Tukey-Kramer method). Specify a family error rate between 0.5 and 0.001&lt;span style=""&gt;                                  &lt;/span&gt;&lt;span style=""&gt;                                                                                                                                                                                                                        &lt;/span&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin: 0in 0in 12pt 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Type I Error&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin: 0in 0in 12pt 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;&lt;br /&gt;In hypothesis testing: rejecting the null hypothesis (no difference) when it is in fact true (e.g. convicting an innocent person.)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p style="margin: 5pt 0in 12pt 0.25in;"&gt;&lt;span style="font-size: 10pt; font-family: Georgia;" lang="EN-AU"&gt;TYPE 1 errors are those where scientists assumed a relationship where none existed.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin: 0in 0in 12pt 0.25in;"&gt;&lt;b&gt;&lt;span style="font-size: 10pt; font-family: Georgia; color: rgb(0, 24, 148);" lang="EN-AU"&gt;Type II Error&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;  &lt;p class="MsoNormal" style="margin: 0in 0in 12pt 0.25in;"&gt;&lt;span style="font-size: 
