To make Six Sigma work, executive and managerial "greenbelts" and "champions" need to understand core statistical concepts and techniques--but they don't need to become professional statisticians. Now, there's a concise, non-mathematical guide to all the statistics they need--and none of the statistics they don't need. The author shows them exactly how to capture the right information, make sense of it, and use it to improve quality throughout the entire Six Sigma DMAIC process. Levine illuminates topics ranging from statistical process control and experimental design to regression analysis…mehr
To make Six Sigma work, executive and managerial "greenbelts" and "champions" need to understand core statistical concepts and techniques--but they don't need to become professional statisticians. Now, there's a concise, non-mathematical guide to all the statistics they need--and none of the statistics they don't need. The author shows them exactly how to capture the right information, make sense of it, and use it to improve quality throughout the entire Six Sigma DMAIC process. Levine illuminates topics ranging from statistical process control and experimental design to regression analysis and hypothesis testing. Drawing on the experience that has made him one of the world's most honored statistics educators, Levine presents statistical topics with the least possible mathematics. Throughout, he teaches through realistic examples--including many examples from the service industries, among the fastest-growing areas of Six Sigma implementation.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
David M. Levine, Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (City University of New York), is nationally recognized as a leading innovator in business statistics education. He is co-author of several best-selling statistics textbooks, including Statistics for Managers Using Microsoft Excel, Basic Business Statistics: Concepts and Applications, Business Statistics: A First Course, and Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. He also recently wrote Even You Can Learn Statistics and co-authored Six Sigma for Green Belts and Champions and Design for Six Sigma for Green Belts and Champions, all published by Prentice Hall. Dr. Levine holds B.B.A. and M.B.A. degrees in Statistics from City College of New York and a Ph.D. degree from New York University in Industrial Engineering and Operations Research.
Inhaltsangabe
Acknowledgments xvii About the Author xix Preface xxi Chapter 1: Fundamentals of Six Sigma 1 Chapter 2: Introduction to Statistics 7 Chapter 3: Presenting Data in Charts and Tables 23 Chapter 4: Descriptive Statistics 39 Chapter 5: Probability and Probability Distributions 59 Chapter 6: Sampling Distributions and Confidence Intervals 95 Chapter 7: Hypothesis Testing 113 Chapter 8: Design of Experiments 157 Chapter 9: Simple Linear Regression 211 Chapter 10: Multiple Regression 241 Chapter 11: Control Charts for Six Sigma Management 279 Appendix A: Review of Arithmetic and Algebra 321 Appendix B: Summation Notation 329 Appendix C: Statistical Tables 333 Appendix D: Documentation of Data Files 347 Glossary 349 Index 359
Acknowledgments xvii About the Author xix Preface xxi Chapter 1: Fundamentals of Six Sigma 1 Chapter 2: Introduction to Statistics 7 Chapter 3: Presenting Data in Charts and Tables 23 Chapter 4: Descriptive Statistics 39 Chapter 5: Probability and Probability Distributions 59 Chapter 6: Sampling Distributions and Confidence Intervals 95 Chapter 7: Hypothesis Testing 113 Chapter 8: Design of Experiments 157 Chapter 9: Simple Linear Regression 211 Chapter 10: Multiple Regression 241 Chapter 11: Control Charts for Six Sigma Management 279 Appendix A: Review of Arithmetic and Algebra 321 Appendix B: Summation Notation 329 Appendix C: Statistical Tables 333 Appendix D: Documentation of Data Files 347 Glossary 349 Index 359
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