Statistics for Six Sigma Green Belts with Minitab & JMP

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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.The only book on the market that provides a simple nonmathematical presentation of the statistics needed by Six Sigma Green Belts. Every concept is explained in plain English with a minimum of mathematical symbols. Includes real-world examples, step by step instructions and sample output for Minitab and JMP software as well as downloadble, ready to use data sets and templates. Includes applications to service industries to help managers understand the role of Six Sigma in nonmanufacturing industries.  Acknowledgments  xviiAbout the Author  xixPreface  xxiChapter 1:  Fundamentals of Six Sigma  1Chapter 2:  Introduction to Statistics  7Chapter 3:  Presenting Data in Charts and Tables  23Chapter 4:  Descriptive Statistics  39Chapter 5:  Probability and Probability Distributions  59Chapter 6:  Sampling Distributions and Confidence Intervals  95Chapter 7:  Hypothesis Testing  113Chapter 8:  Design of Experiments  157Chapter 9:  Simple Linear Regression  211Chapter 10:  Multiple Regression  241Chapter 11:  Control Charts for Six Sigma Management  279Appendix A:  Review of Arithmetic and Algebra  321Appendix B:  Summation Notation  329Appendix C:  Statistical Tables  333Appendix D:  Documentation of Data Files  347Glossary  349Index  359

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Wydawnictwo: angielskie
Data wydania: b.d
Kategoria: Popularnonaukowe
ISBN: 978-0-13-229195-8
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