Appendix A: Deming s 14 Points for Management
|
|
- Annice Garrison
- 8 years ago
- Views:
Transcription
1 Appendix A: Deming s 14 Points for Management All anyone asks for is a chance to work with pride. W. Edwards Deming* 1. Create constancy of purpose toward improvement of product and service, with the aim to become competitive and to stay in business, and to provide jobs. 2. Adopt the new philosophy. We are in a new economic age. Western management must awaken to the challenge, must learn their responsibilities, and take on leadership for change. 3. Cease dependence on inspection to achieve quality. Eliminate the need for inspection on a mass basis by building quality into the product in the first place. 4. End the practice of awarding business on the basis of price tag. Instead, minimize total cost. Move toward a single supplier for any one item, on a long-term relationship of loyalty and trust. 5. Improve constantly and forever the system of production and service, to improve quality and productivity, and thus constantly decrease costs. 6. Institute training on the job. 7. Institute leadership. The aim of supervision should be to help people and machines and gadgets to do a better job. Supervision of management is in need of overhaul, as well as supervision of production workers. 8. Drive out fear, so that everyone may work effectively for the company. 9. Break down barriers between departments. People in research, design, sales, and production must work as a team, to foresee problems of production and in use that may be encountered with the product or service. 10. Eliminate slogans, exhortations, and targets for the work force asking for zero defects and new levels of productivity. Such exhortations only create adversarial relationships, as the bulk of the causes of low quality and low productivity belong to the system and thus lie beyond the power of the work force. * 217
2 218 Transactional Six Sigma and Lean Servicing 11. a. Eliminate work standards (quotas) on the factory floor. Substitute leadership. b. Eliminate management by objective. Eliminate management by numbers, numerical goals. Substitute leadership. 12. a. Remove barriers that rob the hourly worker of his right to pride of workmanship. The responsibility of supervisors must be changed from sheer numbers to quality. b. Remove barriers that rob people in management and in engineering of their right to pride of workmanship. This means, inter alia, abolishment of the annual or merit rating and of management by objective. 13. Institute a vigorous program of education and self-improvement. 14. Put everybody in the company to work to accomplish the transformation. The transformation is everybody s job.
3 Appendix B: Statistical Tables Used for Six Sigma B.1 AREA UNDER THE NORMAL CURVE Table B.1 contains the area under the standard normal curve from 0 to z. It can be used to compute the cumulative distribution function values for the standard normal distribution. Table B.1 utilizes the symmetry of the normal distribution, so what in fact is given is P[ 0 x a ] where a is the value of interest. This is demonstrated in the graph below for a = 0.5. The shaded area of the curve represents the probability that x is between 0 and a. z 0.4 Normal PDF 0.3 Probabilty X 219
4 TABLE B.1 Critical Values for the Normal Distribution Z Transactional Six Sigma and Lean Servicing
5 TABLE B.1 Critical Values for the Normal Distribution Z Adapted from the National Institute of Standards and Technology Engineering Statistics Handbook. Appendix B: Statistical Tables Used for Six Sigma 221
6 222 Transactional Six Sigma and Lean Servicing B.2 UPPER CRITICAL VALUES OF THE STUDENT S t DISTRIBUTION B.2.1 HOW TO USE THIS TABLE Table B.2 contains the upper critical values of the student s t distribution. The upper critical values are computed using the percent point function. Due to the symmetry of the t distribution, this table can be used for both one-sided (lower and upper) and two-sided tests using the appropriate value of α. The significance level, α, is demonstrated with the graph below, which plots a t distribution with 10 degrees of freedom. The most commonly used significance level is α =.05. For a two-sided test, we compute the percent point function at α/2 (.025). If the absolute value of the test statistic is greater than the upper critical value (.025), then we reject the null hypothesis. Due to the symmetry of the t distribution, we tabulate only the upper critical values in Table B t PDF (two-sided test at alpha = 0.05) 0.3 Probabilty alpha = alpha = X Given a specified value for α: For a two-sided test, find the column corresponding to α/2 and reject the null hypothesis if the absolute value of the test statistic is greater than the value of t α/2 in Table B.2. For an upper one-sided test, find the column corresponding to α and reject the null hypothesis if the test statistic is greater than the Table B.2 value. For a lower one-sided test, find the column corresponding to α and reject the null hypothesis if the test statistic is less than the negative of the Table B.2 value.
7 Appendix B: Statistical Tables Used for Six Sigma 223 TABLE B.2 Upper Critical Values of Student s t Distribution with Degrees of Freedom (ν) Probability of Exceeding the Critical Value ν
8 224 Transactional Six Sigma and Lean Servicing TABLE B.2 (continued) Upper Critical Values of Student s t Distribution with Degrees of Freedom (ν) Probability of Exceeding the Critical Value ν
9 Appendix B: Statistical Tables Used for Six Sigma 225 TABLE B.2 (continued) Upper Critical Values of Student s t Distribution with Degrees of Freedom (ν) Probability of Exceeding the Critical Value ν Adapted from the National Institute of Standards and Technology Engineering Statistics Handbook.
10 226 Transactional Six Sigma and Lean Servicing B.3 UPPER CRITICAL VALUES OF THE F DISTRIBUTION B.3.1 HOW TO USE THIS TABLE Table B.3 contains the upper critical values of the F distribution. This table is used for one-sided F tests at the α =.05,.10, and.01 levels. More specifically, a test statistic is computed with ν 1 and ν 2 degrees of freedom, and the result is compared to Table B.3. For a one-sided test, the null hypothesis is rejected when the test statistic is greater than the tabled value. This is demonstrated with the graph of an F distribution with ν 1 = 10 and ν 2 = 10. The shaded area of the graph indicates the rejection region at the α significance level. Because this is a one-sided test, we have α probability in the upper tail of exceeding the critical value and zero in the lower tail. Because the F distribution is asymmetric, a twosided test requires a set of tables (not included here) that contain the rejection regions for both the lower and upper tails F PDF (one-sided test at alpha = 0.05) Probabilty alpha = X
11 TABLE B.3 Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom 5% Significance Level F.05 (ν 1,ν 2 ) ν ν 1 Appendix B: Statistical Tables Used for Six Sigma 227
12 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom 5% Significance Level F.05 (ν 1,ν 2 ) ν ν Transactional Six Sigma and Lean Servicing
13 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom Appendix B: Statistical Tables Used for Six Sigma 229
14 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom 5% Significance Level F.05 (ν 1,ν 2 ) ν ν Transactional Six Sigma and Lean Servicing
15 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom ν ν 1 Appendix B: Statistical Tables Used for Six Sigma 231
16 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom 5% Significance Level F.05 (ν 1,ν 2 ) ν ν Transactional Six Sigma and Lean Servicing
17 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom Appendix B: Statistical Tables Used for Six Sigma 233
18 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom 5% Significance Level F.05 (ν 1,ν 2 ) ν ν Transactional Six Sigma and Lean Servicing
19 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom Appendix B: Statistical Tables Used for Six Sigma 235
20 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom 1% Significance Level F.01 (ν 1,ν 2 ) ν ν Transactional Six Sigma and Lean Servicing
21 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom Appendix B: Statistical Tables Used for Six Sigma 237
22 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom 1% Significance Level F.01 (ν 1,ν 2 ) ν ν Transactional Six Sigma and Lean Servicing
23 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom Appendix B: Statistical Tables Used for Six Sigma 239
24 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom 1% Significance Level F.01 (ν 1,ν 2 ) ν ν Transactional Six Sigma and Lean Servicing
25 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom Appendix B: Statistical Tables Used for Six Sigma 241
26 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom 1% Significance Level F.01 (ν 1,ν 2 ) ν ν Transactional Six Sigma and Lean Servicing
27 TABLE B.3 (continued) Upper Critical Values of the F Distribution for ν 1 Numerator Degrees of Freedom and ν 2 Denominator Degrees of Freedom Adapted from the National Institute of Standards and Technology Engineering Statistics Handbook. Appendix B: Statistical Tables Used for Six Sigma 243
28 244 Transactional Six Sigma and Lean Servicing B.4 CRITICAL VALUES OF THE CHI-SQUARE DISTRIBUTION B.4.1 HOW TO USE THIS TABLE Table B.4 contains the critical values of the chi-square distribution. Because of the lack of symmetry of the chi-square distribution, the table is divided into two parts: for the upper and lower tails of the distribution. A test statistic with ν degrees of freedom is computed from the data. For upper one-sided tests, the test statistic is compared with a value from the upper critical values portion of the table. For two-sided tests, the test statistic is compared with values from both parts of the table. The significance level, α, is demonstrated with the graph below, which shows a chi-square distribution with 3 degrees of freedom for a two-sided test at significance level α =.05. If the test statistic is greater than the upper critical value or less than the lower critical value, we reject the null hypothesis. Specific instructions are given below. Chi-Square PDF (two-sided test at alpha = 0.05) Probability X Given a specified value for α: For a two-sided test, find the column corresponding to α/2 in the upper critical values section of the table and reject the null hypothesis if the test statistic is greater than the tabled value. Similarly, find the column corresponding to 1 α/2 in the lower critical values portion of the table and reject the null hypothesis if the test statistic is less than the tabled value. For an upper one-sided test, find the column corresponding to α in the upper critical values section and reject the null hypothesis if the test statistic is greater than the tabled value. For a lower one-sided test, find the column corresponding to 1 α in the lower critical values section and reject the null hypothesis if the computed test statistic is less than the tabled value.
29 Appendix B: Statistical Tables Used for Six Sigma 245 TABLE B.4 Critical Values of Chi-Square Distribution with ν Degrees of Freedom Upper Critical Values Probability of exceeding the critical value ν
30 246 Transactional Six Sigma and Lean Servicing TABLE B.4 (continued) Critical Values of Chi-Square Distribution with ν Degrees of Freedom Upper Critical Values Probability of exceeding the critical value ν
31 Appendix B: Statistical Tables Used for Six Sigma 247 TABLE B.4 (continued) Critical Values of Chi-Square Distribution with ν Degrees of Freedom Upper Critical Values Probability of exceeding the critical value ν Lower Critical Values Probability of exceeding the critical value ν
32 248 Transactional Six Sigma and Lean Servicing TABLE B.4 (continued) Critical Values of Chi-Square Distribution with ν Degrees of Freedom Lower Critical Values Probability of exceeding the critical value ν
Paul Harts. 055 45 28 480 paul.harts@me.com. dinsdag 25 juni 13
Paul Harts 055 45 28 480 paul.harts@me.com There is no such thing as too much structure trends / / of course, social media quality (and what it is) management (and what it is) quality management (and what
More informationTotal Quality Management TQM Dr.-Ing. George Power. The Evolution of Quality Management
Total Management TQM Dr.-Ing. George Power The Evolution of Management The Evolution of Management Assurance Total Control Companywide Control Mass Inspection Control (Acceptance Sampling) 2 Evolution
More information1 Introduction to ISO 9001:2000
Introduction to ISO 9001:2000 CHAPTER 1 1 Introduction to ISO 9001:2000 By the end of this chapter you should be able to: Describe the origins of quality management systems. Describe the potential benefits
More informationDeming s 14 Points for the Transformation of Management
Deming s 14 Points for the Transformation of Management It is not necessary to change. Survival is not mandatory W. Edwards Deming 2008 E: info @ marval.co.uk Profile W.Edwards Deming was a world famous
More informationQUALITY GURUS (part 1) Manuel Rincón, M.Sc. September 24th, 2004
(part 1) Manuel Rincón, M.Sc. September 24th, 2004 Lecture Outline I. Introduction to Quality Experts II. Quality Philosophies Americans PHILIP CROSBY EDWARD DEMING ARMOND FEIGENBAUN JOSEPH JURAN Japanese
More informationThere is a Relationship Between Systems Thinking and W. Edwards Deming s Theory of Profound Knowledge.
There is a Relationship Between Systems Thinking and W. Edwards Deming s Theory of Profound Knowledge. Dr. Barbara Berry The Berrywood Group Deming s theory of profound knowledge is a management philosophy
More informationLean Agile Scrum Business Value Development and Delivery using Agility. Brenden McGlinchey Software Done Right, Inc. brenden@softwaredoneright.
Lean Agile Scrum Business Value Development and Delivery using Agility Brenden McGlinchey Software Done Right, Inc. brenden@softwaredoneright.net High yield software engineering team Active Customer Involvement
More informationDeming s 14 Points for TQM
1 Deming s 14 Points for TQM 1. Constancy of purpose Create constancy of purpose for continual improvement of products and service to society, allocating resources to provide for long range needs rather
More informationDeming s 14 Points for Management
Quality Management Deming s 14 Points for Management The Secret of Success is Constancy to Purpose. Benjamin Disraeli Speech [June 24, 1872] Deming s 14 Points Page 1 Deming s Quality Chain Reaction Deming
More informationTOPIC 8 QUALITY OBJECTIVE. Quality
TOPIC 8 QUALITY Q Copyright Houghton Mifflin Company. All rights reserved. 8-1 OBJECTIVE What is Quality & Its Importance Total Quality Management (TQM) Dimensions of Quality Element of TQM TQM vs. Traditional
More informationEVOLUTION OF QUALITY CONCEPTS Here we detail how the definition of quality did evolve over time.
TOTAL QUALITY MANAGEMENT Quality is a relative term. It is generally used with reference to the end use of the product. The quality is defined as the fitness for use or purpose at the most economical level.
More informationQuality Concepts. 1.1 Introduction. 1.2 Quality and Reliability Defined
1 Quality Concepts 1.1 Introduction Quality is perceived differently by different people. Yet, everyone understands what is meant by quality. In a manufactured product, the customer as a user recognizes
More informationThe Total Quality Approach to Quality Management: Achieving Organizational Excellence
The Total Quality Approach to Quality Management: Achieving Organizational Excellence Alessandro Anzalone, Ph.D. Hillsborough Community College, Brandon Campus 1. What is Quality? 2. The Total Quality
More information- White Paper - The Deming Guide to Quality. Point One Create Constancy of Purpose for Improvement of Product and Service
- White Paper - The Deming Guide to Quality By Christophe Barriere-Varju BvW Global Dr. Deming does not consider it as sufficient merely to solve problems, big or small. He seeks a major transformation
More informationME2110. Lecture 14: Total Quality Management - TQM
ME2110 Lecture 14: Total Quality Management - TQM Key Concepts Quality and Price Quality vs Quality Standards Categories of Quality Inspection vs Quality Management GIT 2 Outline 1. Introduction 2. Defining
More informationClass Objectives. Total Quality Management. TQM Definitions. TQM Definitions. TQM Definitions. TQM Definitions. Basic concepts on TQM
Class Objectives Total Quality Management FScN 4131 Food Quality Basic concepts on TQM Compare TQM philosophies Describe the TQM process Total: Everyone should be involved Quality: customers should be
More informationAssessment of Deming s Philosophy for Implementing Total Quality Management in U.S. Construction
Seventh LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI 2009) Energy and Technology for the Americas: Education, Innovation, Technology and Practice June 2-5, 2009,
More informationChapter. Quality Management Systems
14 Chapter Quality Management Systems For more than two decades quality and quality management systems have been leading buzzwords in the business world. Numerous consultants have built their careers around
More informationIntroduction to Statistical Quality Control, 5 th edition. Douglas C. Montgomery Arizona State University
Introduction to Statistical Quality Control, 5 th edition Douglas C. Montgomery Arizona State University 3 Learning Objectives 4 1-1 Definitions and Meaning of Quality 1-1.1 The Eight Dimensions of Quality
More informationDeming Revisited: The Real Quality Model for Commerce
Deming Revisited: The Real Quality Model for Commerce Final Raphael L. Vitalo, Ph.D. Vital Enterprises Hope, Maine 04847 Contents Preface Acknowledgments Introduction 1 The Breath and Depth of Deming
More informationErgonomics and Quality Tradeoffs in Lean Manufacturing. Organizations: A Framework for Integration I E M S
Ergonomics and Quality Tradeoffs in Lean Manufacturing I E M S Organizations: A Framework for Integration Ana M. Ferreras Lesia L. Crumpton-Young, Ph.D. Ahmad K. Elshennawy, Ph.D. Company Success PROFIT
More informationContinuous Improvement Philosophies
Inputs Transformation Process Throughput Managing Operations: A Focus on Excellence Cox, Blackstone, and Schleier, 2003 Chapter 3 The Total Quality Management Philosophy: Managing Operations For Quality
More informationTotal Quality Management Applied to Schools
VOLUME 1, NUMBER 1, 2010 Total Quality Management Applied to Schools Fred C. Lunenburg Sam Houston State University ABSTRACT The concepts formulated by Total Quality Management (TQM) founder, W. Edwards
More informationAnnex 15-A: W. Edwards Deming 14 Points for Quality
Annex 15-A: W. Edwards Deming 14 Points for Quality 1. Create constancy of purpose for improvement. 2. Improve constantly and forever. 3. Adopt the new philosophy. 4. Cease dependence on mass inspection.
More informationBAPTIST HEALTH SCHOOL OF NURSING NSG 4027: PROFESSIONAL ROLES IN NURSING PRACTICE
BAPTIST HEALTH SCHOOL OF NURSING NSG 4027: PROFESSIONAL ROLES IN NURSING PRACTICE H1 QUALITY IMPROVEMENT 2006 LECTURE OBJECTIVES: 1. Differentiate between the concepts of quality control/assurance and
More informationThe Original Quality Gurus
The Original Gurus What is a quality guru? A guru, by definition, is a good person, a wise person and a teacher. A quality guru should be all of these, plus have a concept and approach quality within business
More informationComparisons of Quality Management Systems
CQI Learning Lunch Comparisons of Quality Management Systems Host - Dennis Sergent 517-285-5500 October 20th, 2011 10:30 AM to 2:00 PM University Club of Michigan State 3435 Forest Road, Lansing, MI 48909
More informationChapter 2 Concept of Total Quality Management 4
Chapter 2 Concept of Total Quality Management 4 2.1 Introduction This chapter focuses on the identification of the concept of TQM on the basis of the literature review. Section 2.2 presents the concept
More informationIntroduction to Project Management
Introduction to Project Management Quality Management Quality Management Learning Objectives Develop a quality management plan. Perform quality assurance. Apply quality tools. 2 What is Quality? Institute
More informationPerformance Management
Performance Management www.eiilmuniversity.ac.in Subject: PERFORMANCE MANAGEMENT Credits: 4 SYLLABUS Concept of project quality Definitions of Quality and Grade, Features, Development of Quality as a Competitive
More informationTotal Quality Management and Cost of Quality
Total Quality Management and Cost of Quality Evsevios Hadjicostas The International Quality movement Operator Quality Control Foreman (Supervisor) Quality Control Full-time Inspectors Statistical Quality
More informationNovember 08, 2010. 155S8.6_3 Testing a Claim About a Standard Deviation or Variance
Chapter 8 Hypothesis Testing 8 1 Review and Preview 8 2 Basics of Hypothesis Testing 8 3 Testing a Claim about a Proportion 8 4 Testing a Claim About a Mean: σ Known 8 5 Testing a Claim About a Mean: σ
More informationHYPOTHESIS TESTING: POWER OF THE TEST
HYPOTHESIS TESTING: POWER OF THE TEST The first 6 steps of the 9-step test of hypothesis are called "the test". These steps are not dependent on the observed data values. When planning a research project,
More informationTotal Quality Transportation Through Deming s 14 Points
Top Quality Transportation Through Deming s 14 Points Total Quality Transportation Through Deming s 14 Points Bhimaraya A. Metri, Management Development Institute, India Abstract Transportation organizations,
More informationChapter 3 02/18/1437. Foundations of Quality Management. Deming (1900-1993) Leaders in the Quality Revolution
Chapter 3 Foundations of Quality Management Evans & Lindsay (2014) MANAGING FOR QUALITY AND PERFORMANCE EXCELLENCE, 8e 1 Leaders in the Quality Revolution W. Edwards Deming Joseph M. Juran Philip B. Crosby
More informationImproving Service Level Performance - Phoenix Process Quality Management
Improving Service Level Performance - Phoenix Process Quality Management If you re traveling on a Boeing or Airbus, drive a BMW, Mercedes, Citroen or Peugeot, banked with Deutsche Bank, used an NCR ATM,
More informationDefining Total Quality Management
The following material has recently been used to great success with management and leadership teams. If you d like to learn more, please review our Programs and contact us at www.leadershiptransformationgroup.com
More informationQUALITY MANAGEMENT PHILOSOPHIES:
Chapter - 2 QUALITY MANAGEMENT PHILOSOPHIES: Introduction: Dr. Shyamal Gomes When we are trying to understand TQM movement fully, we must look the philosophical concepts of the masters who have shaped
More informationThe Philosophy of TQM An Overview
The Philosophy of TQM An Overview TQM = Customer-Driven Quality Management References for Lecture: Background Reference Material on Web: The Philosophy of TQM by Pat Customer Quality Measures Customers
More informationParadigms of Total Quality Management
Paradigms of Total Quality Management LIDIA MANDRU, LUCIAN PATRASCU, CLAUDIA-GEORGETA CARSTEA, AURELIAN POPESCU, OVIDIU BIRSAN Department of Mathematics, Informatics and Socio-Human Sciences *, George
More informationDeming s Approach to Management
Deming s Approach to Management I Basic Philosophy Deming s theory of management details the steps that must be taken to transform a company s quality culture. It is a theory that means it is insufficient
More informationImproving Health Care Quality and Safety
Doing More with Less: LEAN THINKING and Patient Safety in Health Care Foreword by Helen Zak, Lean Enterprise Institute Improving Health Care Quality and Safety Doing More with Less: LEAN THINKING and Patient
More informationQuality Systems Frameworks. SE 350 Software Process & Product Quality 1
Quality Systems Frameworks 1 What is a Quality System? An organization uses quality systems to control and improve the effectiveness of the processes used to deliver a quality product or service A Quality
More informationBritish Standard (BS) 5750 - quality assurance?
Prosthetics and Orthotics International, 1995, 19, 31-36 British Standard (BS) 5750 - quality assurance? D. J. PRATT Derbyshire Royal Infirmary, Derby, UK Abstract BS5750 is the British Standard on "Quality
More informationTOTAL QUALITY MANAGEMENT SYSTEM
T TOTAL QUALITY MANAGEMENT SYSTEM FOR DELIVERY OF EDUCATIONAL PROGRAMS AND SERVICES M Q M Madison County School System Adopted November 24, 2003 Page 2 Total Quality Management system For delivery of Educational
More informationINTERNATIONAL JOURNAL OF RESEARCH IN AERONAUTICAL AND MECHANICAL ENGINEERING. Quality Gurus: Philosophy and Teachings
ISSN (ONLINE): 2321-3051 INTERNATIONAL JOURNAL OF RESEARCH IN AERONAUTICAL AND MECHANICAL ENGINEERING Abstract Quality Gurus: Philosophy and Teachings Mr.Rajan.M.Aole 1, Prof. Vinod S. Gorantiwar 2 Rajiv
More informationHYPOTHESIS TESTING (ONE SAMPLE) - CHAPTER 7 1. used confidence intervals to answer questions such as...
HYPOTHESIS TESTING (ONE SAMPLE) - CHAPTER 7 1 PREVIOUSLY used confidence intervals to answer questions such as... You know that 0.25% of women have red/green color blindness. You conduct a study of men
More informationAn introduction to Total Quality Management Principles applied to occupational safety and health. Total Quality Safety Management
An introduction to Total Quality Management Principles applied to occupational safety and health Total Quality Safety Management OSTN Total Quality Safety Management 2 Introduction Traditional safety management
More informationThe Investigation On Sustainability Of Total Quality Management In Higher Education Through Deming s Pdca Cycle
The Investigation On Sustainability Of Total Quality Management In Higher Education Through Deming s Pdca Cycle Göktaş Pinar, Çetinceli Esra Süleyman Demirel Üniversitesi Isparta Meslek Yüksekokulu,Isparta
More informationHypothesis testing - Steps
Hypothesis testing - Steps Steps to do a two-tailed test of the hypothesis that β 1 0: 1. Set up the hypotheses: H 0 : β 1 = 0 H a : β 1 0. 2. Compute the test statistic: t = b 1 0 Std. error of b 1 =
More informationChapter 3. Review Questions. 5. Summarize Deming s 14 Points. How does each point relate to the four components of Profound Knowledge?
Amy Hissom Homework #4 Philosophies and Frameworks TECH 50000 - Quality Standards Friday, February 04, 2011 Chapter 3 Review Questions 5. Summarize Deming s 14 Points. How does each point relate to the
More informationUnit 31 A Hypothesis Test about Correlation and Slope in a Simple Linear Regression
Unit 31 A Hypothesis Test about Correlation and Slope in a Simple Linear Regression Objectives: To perform a hypothesis test concerning the slope of a least squares line To recognize that testing for a
More informationClass 19: Two Way Tables, Conditional Distributions, Chi-Square (Text: Sections 2.5; 9.1)
Spring 204 Class 9: Two Way Tables, Conditional Distributions, Chi-Square (Text: Sections 2.5; 9.) Big Picture: More than Two Samples In Chapter 7: We looked at quantitative variables and compared the
More informationCHAPTER 1 WHAT IS TOTAL QUALITY MANAGEMENT?
CHAPTER 1 WHAT IS TOTAL QUALITY MANAGEMENT? An organization planning the implementation of Total Quality Management (TQM) is about to embark on the challenge and opportunity of a lifetime. This adventure
More informationOdds ratio, Odds ratio test for independence, chi-squared statistic.
Odds ratio, Odds ratio test for independence, chi-squared statistic. Announcements: Assignment 5 is live on webpage. Due Wed Aug 1 at 4:30pm. (9 days, 1 hour, 58.5 minutes ) Final exam is Aug 9. Review
More informationDISSERTATION PERCEPTIONS OF COMMUNITY COLLEGE PRESIDENTS: TOTAL QUALITY MANAGEMENT PERFORMANCE MEASURES AT THEIR COLLEGES.
DISSERTATION PERCEPTIONS OF COMMUNITY COLLEGE PRESIDENTS: TOTAL QUALITY MANAGEMENT PERFORMANCE MEASURES AT THEIR COLLEGES Submitted by Mark T. Riccardi School of Education In partial fulfillment of the
More informationTotal Quality Management in the stock exchange: A case study
African Journal of Business Management Vol. 4(12), pp. 2450-2458, 18 September, 2010 Available online at http://www.academicjournals.org/ajbm ISSN 1993-8233 2010 Academic Journals Full Length Research
More informationChi Square Tests. Chapter 10. 10.1 Introduction
Contents 10 Chi Square Tests 703 10.1 Introduction............................ 703 10.2 The Chi Square Distribution.................. 704 10.3 Goodness of Fit Test....................... 709 10.4 Chi Square
More informationPoint Biserial Correlation Tests
Chapter 807 Point Biserial Correlation Tests Introduction The point biserial correlation coefficient (ρ in this chapter) is the product-moment correlation calculated between a continuous random variable
More information1-3 id id no. of respondents 101-300 4 respon 1 responsible for maintenance? 1 = no, 2 = yes, 9 = blank
Basic Data Analysis Graziadio School of Business and Management Data Preparation & Entry Editing: Inspection & Correction Field Edit: Immediate follow-up (complete? legible? comprehensible? consistent?
More informationUnit 26 Estimation with Confidence Intervals
Unit 26 Estimation with Confidence Intervals Objectives: To see how confidence intervals are used to estimate a population proportion, a population mean, a difference in population proportions, or a difference
More informationTesting a claim about a population mean
Introductory Statistics Lectures Testing a claim about a population mean One sample hypothesis test of the mean Department of Mathematics Pima Community College Redistribution of this material is prohibited
More informationTHE PROCESS CAPABILITY ANALYSIS - A TOOL FOR PROCESS PERFORMANCE MEASURES AND METRICS - A CASE STUDY
International Journal for Quality Research 8(3) 399-416 ISSN 1800-6450 Yerriswamy Wooluru 1 Swamy D.R. P. Nagesh THE PROCESS CAPABILITY ANALYSIS - A TOOL FOR PROCESS PERFORMANCE MEASURES AND METRICS -
More informationBA 275 Review Problems - Week 6 (10/30/06-11/3/06) CD Lessons: 53, 54, 55, 56 Textbook: pp. 394-398, 404-408, 410-420
BA 275 Review Problems - Week 6 (10/30/06-11/3/06) CD Lessons: 53, 54, 55, 56 Textbook: pp. 394-398, 404-408, 410-420 1. Which of the following will increase the value of the power in a statistical test
More informationQUALITY RADIOLOGY. What is Quality, and how does it apply to Radiology. How is Quality defined in healthcare, specifically Radiology?
QUALITY RADIOLOGY Daryl Chen, MD Harbor City/South Bay Medical Center What is Quality, and how does it apply to Radiology Quality Assurance Quality Control Total Quality Management Total Quality Leadership
More informationt Tests in Excel The Excel Statistical Master By Mark Harmon Copyright 2011 Mark Harmon
t-tests in Excel By Mark Harmon Copyright 2011 Mark Harmon No part of this publication may be reproduced or distributed without the express permission of the author. mark@excelmasterseries.com www.excelmasterseries.com
More informationSolving Quadratic & Higher Degree Inequalities
Ch. 8 Solving Quadratic & Higher Degree Inequalities We solve quadratic and higher degree inequalities very much like we solve quadratic and higher degree equations. One method we often use to solve quadratic
More informationConfidence Intervals for Cp
Chapter 296 Confidence Intervals for Cp Introduction This routine calculates the sample size needed to obtain a specified width of a Cp confidence interval at a stated confidence level. Cp is a process
More informationRegression Analysis: A Complete Example
Regression Analysis: A Complete Example This section works out an example that includes all the topics we have discussed so far in this chapter. A complete example of regression analysis. PhotoDisc, Inc./Getty
More informationLesson 1: Comparison of Population Means Part c: Comparison of Two- Means
Lesson : Comparison of Population Means Part c: Comparison of Two- Means Welcome to lesson c. This third lesson of lesson will discuss hypothesis testing for two independent means. Steps in Hypothesis
More informationIntroduction to Hypothesis Testing. Hypothesis Testing. Step 1: State the Hypotheses
Introduction to Hypothesis Testing 1 Hypothesis Testing A hypothesis test is a statistical procedure that uses sample data to evaluate a hypothesis about a population Hypothesis is stated in terms of the
More information3.4 Statistical inference for 2 populations based on two samples
3.4 Statistical inference for 2 populations based on two samples Tests for a difference between two population means The first sample will be denoted as X 1, X 2,..., X m. The second sample will be denoted
More informationLeadership Training to Retain USA Swimming Officials (Leadership Clinic Material)
Leadership Training to Retain USA Swimming Officials (Leadership Clinic Material) There are some leadership principles that apply to all leadership positions, and they can be manipulated to specific roles
More informationOnline International Interdisciplinary Research Journal, {Bi-Monthly}, ISSN 2249-9598, Volume-V, May 2015 Special Issue
A Study of Organizational Commitment of Teacher Educators in Relation To Their Perception of total Quality Management a Asha. J. Patil, b Noorjehan N. Ganihar a Assistant Professor Vijayanagar College
More informationTotal Quality Management as a Tool for Decision Making
Total Quality Management as a Tool for Decision Making Md. Abdus Sabur Associate Professor, Accounting, Govt. Titumir College, Dhaka, Banglaesh ABSTRACT TQM means keeping the organization running smoothly
More informationTotal Quality Management
Total Quality Management Backgrounds &Concepts Anont Wonggasem Department of Industrial Engineering Faculty of Engineering Kasetsart University Agenda Quality Definition The Quality Evolution Managing
More informationSolutions: Problems for Chapter 3. Solutions: Problems for Chapter 3
Problem A: You are dealt five cards from a standard deck. Are you more likely to be dealt two pairs or three of a kind? experiment: choose 5 cards at random from a standard deck Ω = {5-combinations of
More informationPeople. Customer Supplier. Commitment
Total Management (TQM) Introduction TQM is the way of managing for the future, and is far wider in its application than just assuring product or service quality it is a way of managing people and business
More informationUNDERSTANDING THE INDEPENDENT-SAMPLES t TEST
UNDERSTANDING The independent-samples t test evaluates the difference between the means of two independent or unrelated groups. That is, we evaluate whether the means for two independent groups are significantly
More informationChapter 3 RANDOM VARIATE GENERATION
Chapter 3 RANDOM VARIATE GENERATION In order to do a Monte Carlo simulation either by hand or by computer, techniques must be developed for generating values of random variables having known distributions.
More informationDescriptive Analysis
Research Methods William G. Zikmund Basic Data Analysis: Descriptive Statistics Descriptive Analysis The transformation of raw data into a form that will make them easy to understand and interpret; rearranging,
More informationSummary of Formulas and Concepts. Descriptive Statistics (Ch. 1-4)
Summary of Formulas and Concepts Descriptive Statistics (Ch. 1-4) Definitions Population: The complete set of numerical information on a particular quantity in which an investigator is interested. We assume
More informationExperimental Design. Power and Sample Size Determination. Proportions. Proportions. Confidence Interval for p. The Binomial Test
Experimental Design Power and Sample Size Determination Bret Hanlon and Bret Larget Department of Statistics University of Wisconsin Madison November 3 8, 2011 To this point in the semester, we have largely
More informationIndependent t- Test (Comparing Two Means)
Independent t- Test (Comparing Two Means) The objectives of this lesson are to learn: the definition/purpose of independent t-test when to use the independent t-test the use of SPSS to complete an independent
More informationTHE CERTIFIED SIX SIGMA BLACK BELT HANDBOOK
THE CERTIFIED SIX SIGMA BLACK BELT HANDBOOK SECOND EDITION T. M. Kubiak Donald W. Benbow ASQ Quality Press Milwaukee, Wisconsin Table of Contents list of Figures and Tables Preface to the Second Edition
More informationRandomized Block Analysis of Variance
Chapter 565 Randomized Block Analysis of Variance Introduction This module analyzes a randomized block analysis of variance with up to two treatment factors and their interaction. It provides tables of
More informationSurvey, Statistics and Psychometrics Core Research Facility University of Nebraska-Lincoln. Log-Rank Test for More Than Two Groups
Survey, Statistics and Psychometrics Core Research Facility University of Nebraska-Lincoln Log-Rank Test for More Than Two Groups Prepared by Harlan Sayles (SRAM) Revised by Julia Soulakova (Statistics)
More informationHow To Check For Differences In The One Way Anova
MINITAB ASSISTANT WHITE PAPER This paper explains the research conducted by Minitab statisticians to develop the methods and data checks used in the Assistant in Minitab 17 Statistical Software. One-Way
More informationHYPOTHESIS TESTING (ONE SAMPLE) - CHAPTER 7 1. used confidence intervals to answer questions such as...
HYPOTHESIS TESTING (ONE SAMPLE) - CHAPTER 7 1 PREVIOUSLY used confidence intervals to answer questions such as... You know that 0.25% of women have red/green color blindness. You conduct a study of men
More information6: Introduction to Hypothesis Testing
6: Introduction to Hypothesis Testing Significance testing is used to help make a judgment about a claim by addressing the question, Can the observed difference be attributed to chance? We break up significance
More informationTopic 12 Total Quality Management. From Control to Management. Deming s Fourteen Points for TQM
Topic 12 Total Quality Management From Control to Management 1 Inspection Error detection of finished goods Rectification Reading guide: Chapter 20 (Slack et al, 2004) and MGT326 Slides/Handout 1 2 Quality
More information5 Cumulative Frequency Distributions, Area under the Curve & Probability Basics 5.1 Relative Frequencies, Cumulative Frequencies, and Ogives
5 Cumulative Frequency Distributions, Area under the Curve & Probability Basics 5.1 Relative Frequencies, Cumulative Frequencies, and Ogives We often have to compute the total of the observations in a
More informationTHE FIRST SET OF EXAMPLES USE SUMMARY DATA... EXAMPLE 7.2, PAGE 227 DESCRIBES A PROBLEM AND A HYPOTHESIS TEST IS PERFORMED IN EXAMPLE 7.
THERE ARE TWO WAYS TO DO HYPOTHESIS TESTING WITH STATCRUNCH: WITH SUMMARY DATA (AS IN EXAMPLE 7.17, PAGE 236, IN ROSNER); WITH THE ORIGINAL DATA (AS IN EXAMPLE 8.5, PAGE 301 IN ROSNER THAT USES DATA FROM
More informationTwo-Sample T-Tests Assuming Equal Variance (Enter Means)
Chapter 4 Two-Sample T-Tests Assuming Equal Variance (Enter Means) Introduction This procedure provides sample size and power calculations for one- or two-sided two-sample t-tests when the variances of
More informationMBA 611 STATISTICS AND QUANTITATIVE METHODS
MBA 611 STATISTICS AND QUANTITATIVE METHODS Part I. Review of Basic Statistics (Chapters 1-11) A. Introduction (Chapter 1) Uncertainty: Decisions are often based on incomplete information from uncertain
More informationII. DISTRIBUTIONS distribution normal distribution. standard scores
Appendix D Basic Measurement And Statistics The following information was developed by Steven Rothke, PhD, Department of Psychology, Rehabilitation Institute of Chicago (RIC) and expanded by Mary F. Schmidt,
More informationNormality Testing in Excel
Normality Testing in Excel By Mark Harmon Copyright 2011 Mark Harmon No part of this publication may be reproduced or distributed without the express permission of the author. mark@excelmasterseries.com
More informationIntroduction to Hypothesis Testing
I. Terms, Concepts. Introduction to Hypothesis Testing A. In general, we do not know the true value of population parameters - they must be estimated. However, we do have hypotheses about what the true
More informationTABLE OF CONTENTS. About Chi Squares... 1. What is a CHI SQUARE?... 1. Chi Squares... 1. Hypothesis Testing with Chi Squares... 2
About Chi Squares TABLE OF CONTENTS About Chi Squares... 1 What is a CHI SQUARE?... 1 Chi Squares... 1 Goodness of fit test (One-way χ 2 )... 1 Test of Independence (Two-way χ 2 )... 2 Hypothesis Testing
More information