Statistical thinking: improving business performance
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, NJ
Wiley
[2020]
|
| Edition: | Third Edition |
| Series: | Wiley & SAS business series
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | xxix, 606 Seiten Illustrationen, Diagramme |
| ISBN: | 9781119605713 |
Staff View
MARC
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Record in the Search Index
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| adam_text | Table of Contents Preface xili introduction to JMP xvii Part One Statistical Thinking Concepts..................................,;....... 1 Chapter 1 Need for Business improvement 3 Today s Business Realities and the Need to Improve 4 We Now Have Two Jobs: A Model for Business Improvement 8 New Improvement Approaches Require Statistical Thinking 12 Principles of Statistical Thinking 17 Applications of Statistical Thinking 22 Summary and Looking Forward 23 Exercises: Chapter 1 24 Notes 25 Chapter 2 Data: The Missing Link 27 Why Do We Need Data? 28 Types of Data 29 All Data Are Not Created Equal 32 Practical Sampling Tips to Ensure Data Quality 34 What about Data Quantity? 38 Every Data Set Has a Story: The Data Pedigree 40 The Measurement System 42 Summarizing Data 48 Summary and Looking Forward 52 Exercises: Chapter 2 52 Notes 54 Chapter 3 Statistical Thinking Strategy 55 Case Study: The Effect of Advertising on Sales 56 Case Study: Improvement of a Soccer Team s Performance 62 Statistical Thinking Strategy 71 Variation in Business Processes 76 Synergy between Data and Subject Matter Knowledge 82 Dynamic Nature of Business Processes 84 Value of Graphics—Discovering the Unexpected 86 Summary and Looking Forward 89 Project Update 89 Exercises: Chapter 3 90 Notes 91 Chapter 4 Understanding Business Processes 93 Examples of Business Processes 94 SIPOC Model for Processes 100 ІХ
X ►table of contents Identifying Business Processes 102 Analysis of Business Processes 103 Systems of Processes 119 Summary and Looking Forward 122 Project Update 123 Exercises: Chapter 4 124 Notes 126 Part two Holistic improvement: Frameworks and Basic Tools... 127 Chapters Holistic Improvement: Tactics to Deploy Statistical Thinking 129 Case Study: Resolving Customer Complaints of Baby Wipe Flushability 130 The Problem-Solving Framework 137 Case Study: Reducing Resin Output Variation 141 The Process Improvement Framework 147 Statistical Engineering 153 Statistical Engineering Case Study: Predicting Corporate Defaults A Framework for Statistical Engineering Projects 158 Summary and Looking Forward 164 Project Update 165 Exercises: Chapter 5 166 Notes 167 Chapter 6 Process Improvement and Problem-Solving Tools 154 169 Practical Tools 172 Knowledge-Based Tools 191 Graphical Tools 207 Analytical Tools 228 Summary and Looking Forward 265 Project Update 265 Exercises: Chapter 6 266 Notes 271 Part Three Formal Statistical Methods............ Chapter 7 ......................273 Building and Using Models 275 Examples of Business Models 276 Types and Uses of Models 279 Regression Modeling Process 282 Building Models with One Predictor Variable 290 Building Models with Several Predictor Variables 307 Multicollinearity: Another Model Check 315 Some Limitations of Using Observational Data 317 Summary and Looking Forward 319 Project Update 321 Exercises: Chapter 7 321 Notes 346 Chapter 8 Using Process Experimentation to Build Models Randomized versus Observational Studies 348 Why Do We
Need a Statistical Approach? 350 347
TABLE OF CONTENTS 4 ХІ Examples of Process Experiments 355 Problem-Solving and Process Improvement Are Sequential 364 Statistical Approach to Experimentation 365 Two-Factor Experiments: A Case Study 372 Three-Factor Experiments: A Case Study 378 Larger Experiments 385 Blocking, Randomization, and Center Points 387 Summary and Looking Forward 389 Project Update 391 Exercises: Chapter 8 391 Notes 399 Chapter 9 Applications of Statistical inference Tools 401 Examples of Statistical Inference Tools 404 Process of Applying Statistical Inference 408 Statistical Confidence and Prediction Intervals 412 Statistical Hypothesis Tests 424 Tests for Continuous Data 435 Test for Discrete Data: Comparing Two or More Proportions 441 Test for Regression Analysis: Test on a Regression Coefficient 442 Sample Size Formulas 443 Summary and Looking Forward 448 Project Update 449 Exercises: Chapter 9 450 Notes 454 Chapter 10 Underlying Theory of Statistical Inference 455 Applications of the Theory 456 Theoretical Framework of Statistical Inference 458 Probability Distributions 463 Sampling Distributions 479 Linear Combinations 486 Transformations 490 Summary and Looking Forward 510 Project Update 511 Exercises: Chapter 10 511 Notes 514 Appendix A Effective Teamwork Appendix В Presentations and Report Writing Appendix C More on Surveys Appendix D More on Regression Appendix E More on Design of Experiments Appendix F More on Inference Tools Appendixe More on Probability Distributions Appendix H DMAIC Process Improvement Framework Appendix I t Critical Values 587 Appendix J Standard Normal
Probabilities (Cumulative z Curve Areas) Index 593 515 525 531 539 553 567 571 577 589
|
| adam_txt |
Table of Contents Preface xili introduction to JMP xvii Part One Statistical Thinking Concepts.,;. 1 Chapter 1 Need for Business improvement 3 Today's Business Realities and the Need to Improve 4 We Now Have Two Jobs: A Model for Business Improvement 8 New Improvement Approaches Require Statistical Thinking 12 Principles of Statistical Thinking 17 Applications of Statistical Thinking 22 Summary and Looking Forward 23 Exercises: Chapter 1 24 Notes 25 Chapter 2 Data: The Missing Link 27 Why Do We Need Data? 28 Types of Data 29 All Data Are Not Created Equal 32 Practical Sampling Tips to Ensure Data Quality 34 What about Data Quantity? 38 Every Data Set Has a Story: The Data Pedigree 40 The Measurement System 42 Summarizing Data 48 Summary and Looking Forward 52 Exercises: Chapter 2 52 Notes 54 Chapter 3 Statistical Thinking Strategy 55 Case Study: The Effect of Advertising on Sales 56 Case Study: Improvement of a Soccer Team's Performance 62 Statistical Thinking Strategy 71 Variation in Business Processes 76 Synergy between Data and Subject Matter Knowledge 82 Dynamic Nature of Business Processes 84 Value of Graphics—Discovering the Unexpected 86 Summary and Looking Forward 89 Project Update 89 Exercises: Chapter 3 90 Notes 91 Chapter 4 Understanding Business Processes 93 Examples of Business Processes 94 SIPOC Model for Processes 100 ІХ
X ►table of contents Identifying Business Processes 102 Analysis of Business Processes 103 Systems of Processes 119 Summary and Looking Forward 122 Project Update 123 Exercises: Chapter 4 124 Notes 126 Part two Holistic improvement: Frameworks and Basic Tools. 127 Chapters Holistic Improvement: Tactics to Deploy Statistical Thinking 129 Case Study: Resolving Customer Complaints of Baby Wipe Flushability 130 The Problem-Solving Framework 137 Case Study: Reducing Resin Output Variation 141 The Process Improvement Framework 147 Statistical Engineering 153 Statistical Engineering Case Study: Predicting Corporate Defaults A Framework for Statistical Engineering Projects 158 Summary and Looking Forward 164 Project Update 165 Exercises: Chapter 5 166 Notes 167 Chapter 6 Process Improvement and Problem-Solving Tools 154 169 Practical Tools 172 Knowledge-Based Tools 191 Graphical Tools 207 Analytical Tools 228 Summary and Looking Forward 265 Project Update 265 Exercises: Chapter 6 266 Notes 271 Part Three Formal Statistical Methods. Chapter 7 .273 Building and Using Models 275 Examples of Business Models 276 Types and Uses of Models 279 Regression Modeling Process 282 Building Models with One Predictor Variable 290 Building Models with Several Predictor Variables 307 Multicollinearity: Another Model Check 315 Some Limitations of Using Observational Data 317 Summary and Looking Forward 319 Project Update 321 Exercises: Chapter 7 321 Notes 346 Chapter 8 Using Process Experimentation to Build Models Randomized versus Observational Studies 348 Why Do We
Need a Statistical Approach? 350 347
TABLE OF CONTENTS 4 ХІ Examples of Process Experiments 355 Problem-Solving and Process Improvement Are Sequential 364 Statistical Approach to Experimentation 365 Two-Factor Experiments: A Case Study 372 Three-Factor Experiments: A Case Study 378 Larger Experiments 385 Blocking, Randomization, and Center Points 387 Summary and Looking Forward 389 Project Update 391 Exercises: Chapter 8 391 Notes 399 Chapter 9 Applications of Statistical inference Tools 401 Examples of Statistical Inference Tools 404 Process of Applying Statistical Inference 408 Statistical Confidence and Prediction Intervals 412 Statistical Hypothesis Tests 424 Tests for Continuous Data 435 Test for Discrete Data: Comparing Two or More Proportions 441 Test for Regression Analysis: Test on a Regression Coefficient 442 Sample Size Formulas 443 Summary and Looking Forward 448 Project Update 449 Exercises: Chapter 9 450 Notes 454 Chapter 10 Underlying Theory of Statistical Inference 455 Applications of the Theory 456 Theoretical Framework of Statistical Inference 458 Probability Distributions 463 Sampling Distributions 479 Linear Combinations 486 Transformations 490 Summary and Looking Forward 510 Project Update 511 Exercises: Chapter 10 511 Notes 514 Appendix A Effective Teamwork Appendix В Presentations and Report Writing Appendix C More on Surveys Appendix D More on Regression Appendix E More on Design of Experiments Appendix F More on Inference Tools Appendixe More on Probability Distributions Appendix H DMAIC Process Improvement Framework Appendix I t Critical Values 587 Appendix J Standard Normal
Probabilities (Cumulative z Curve Areas) Index 593 515 525 531 539 553 567 571 577 589 |
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| illustrated | Illustrated |
| index_date | 2024-07-03T15:50:07Z |
| indexdate | 2024-07-10T08:59:17Z |
| institution | BVB |
| isbn | 9781119605713 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032390955 |
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| physical | xxix, 606 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
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| spelling | Hoerl, Roger W. 1957- Verfasser (DE-588)170260488 aut Statistical thinking improving business performance Roger W. Hoerl and Ronald D. Snee Third Edition Hoboken, NJ Wiley [2020] © 2020 xxix, 606 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Wiley & SAS business series Includes bibliographical references and index Statistik Wirtschaft Commercial statistics BUSINESS & ECONOMICS / Statistics bisacsh Snee, Ronald D. Verfasser (DE-588)102254036X aut Erscheint auch als Onlineausgabe, pdf 9781119605720 Erscheint auch als Onlineausgabe, epub 9781119605737 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032390955&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Hoerl, Roger W. 1957- Snee, Ronald D. Statistical thinking improving business performance Statistik Wirtschaft Commercial statistics BUSINESS & ECONOMICS / Statistics bisacsh |
| title | Statistical thinking improving business performance |
| title_auth | Statistical thinking improving business performance |
| title_exact_search | Statistical thinking improving business performance |
| title_exact_search_txtP | Statistical thinking improving business performance |
| title_full | Statistical thinking improving business performance Roger W. Hoerl and Ronald D. Snee |
| title_fullStr | Statistical thinking improving business performance Roger W. Hoerl and Ronald D. Snee |
| title_full_unstemmed | Statistical thinking improving business performance Roger W. Hoerl and Ronald D. Snee |
| title_short | Statistical thinking |
| title_sort | statistical thinking improving business performance |
| title_sub | improving business performance |
| topic | Statistik Wirtschaft Commercial statistics BUSINESS & ECONOMICS / Statistics bisacsh |
| topic_facet | Statistik Wirtschaft Commercial statistics BUSINESS & ECONOMICS / Statistics |
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