Hoerl / Snee - Statistical Thinking: Improving Business Performance

Statistical Thinking: Improving Business Performance

Medium: Buch

ISBN: 978-1-118-09477-8

Verlag: WILEY

Erscheinungstermin: 27.04.2012

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Preface xiiiIntroduction to JMP xviiPart One Statistical Thinking Concepts 1Chapter 1 Need for Business Improvement 3Today's Business Realities and the Need to Improve 4We Now Have Two Jobs: A Model for Business Improvement 7New Management Approaches Require Statistical Thinking 10Principles of Statistical Thinking 15Applications of Statistical Thinking 18Summary 20Notes 20Chapter 2 Statistical Thinking Strategy 23Case Study: The Effect of Advertising on Sales 24Case Study: Improvement of a Soccer Team's Performance 30Statistical Thinking Strategy 39Context of Statistical Thinking: Statistics Discipline as a System 43Variation in Business Processes 45Synergy between Data and Subject Matter Knowledge 50Dynamic Nature of Business Processes 51Summary 53Project Update 53Notes 54Chapter 3 Understanding Business Processes 55Examples of Business Processes 56SIPOC Model for Processes 62Identifying Business Processes 64Analysis of Business Processes 65Systems of Processes 79Measurement Process 82Summary 87Project Update 88Notes 89Part Two Statistical Engineering: Frameworks and Basic Tools 91Chapter 4 Statistical Engineering: Tactics to Deploy Statistical Thinking 93Statistical Engineering 94Case Study: Reducing Resin Output Variation 95Case Study: Reducing Telephone Waiting Time at a Bank 101Basic Process Improvement Framework 105Case Study: Resolving Customer Complaints of Baby Wipe Flushability 111Case Study: The Realized Revenue Fiasco 117Basic Problem-Solving Framework 123DMAIC Framework 128DMAIC Case Study: Newspaper Accuracy 130Summary 137Project Update 137Notes 138Chapter 5 Process Improvement and Problem-Solving Tools 139Stratification 141Data Collection Tools 142Basic Graphical Analysis Tools 156Knowledge-Based Tools 172Process Stability and Capability Tools 205Summary 226Project Update 227Notes 227Part Three Formal Statistical Methods 229Chapter 6 Building and Using Models 231Examples of Business Models 232Types and Uses of Models 235Regression Modeling Process 238Building Models with One Predictor Variable 246Building Models with Several Predictor Variables 254Multicollinearity: Another Model Check 261Some Limitations of Using Existing Data 264Summary 265Project Update 267Notes 267Chapter 7 Using Process Experimentation to Build Models 269Why Do We Need a Statistical Approach? 270Examples of Process Experiments 273Statistical Approach to Experimentation 279Two-Factor Experiments: A Case Study 286Three-Factor Experiments: A Case Study 292Larger Experiments 299Blocking, Randomization, and Center Points 301Summary 303Project Update 304Notes 305Chapter 8 Applications of Statistical Inference Tools 307Examples of Statistical Inference Tools 310Process of Applying Statistical Inference 314Statistical Confidence and Prediction Intervals 317Statistical Hypothesis Tests 330Tests for Continuous Data 339Test for Discrete Data: Comparing Two or More Proportions 344Test for Regression Analysis: Test on a Regression Coefficient 345Sample Size Formulas 346Summary 352Project Update 353Notes 353Chapter 9 Underlying Theory of Statistical Inference 355Applications of the Theory 356Theoretical Framework of Statistical Inference 358Types of Data 363Probability Distributions 366Sampling Distributions 382Linear Combinations 389Transformations 392Summary 411Project Update 411Notes 412Chapter 10 Summary and Path Forward 413A Personal Case Study by Tom Pohlen 414Review of the Statistical Thinking Approach 420Text Summary 422Potential Next Steps to Deeper Understanding of Statistical Thinking 425Project Summary and Debriefing 427Notes 427Appendix A Effective Teamwork 429Appendix B Presentations and Report Writing 439Appendix C More on Surveys 445Appendix D More on Regression 453Appendix E More on Design of Experiments 467Appendix F More on Inference Tools 479Appendix G More on Probability Distributions 483Appendix H Process Design (Reengineering) 491Appendix I t Critical Values 497Appendix J Standard Normal Probabilities (Cumulative z Curve Areas) 499Index 503