Statistics for Six Sigma Green Belts with Minitab and JMP (paperback)
- By David M. Levine
- Published Jun 2, 2006 by PH Professional Business.
- Copyright 2006
- Dimensions: 7 X 9-1/4
- Pages: 400
- Edition: 1st
- Book
- ISBN-10: 0-13-701712-X
- ISBN-13: 978-0-13-701712-6
- eBook (Watermarked)
- ISBN-10: 0-13-205465-5
- ISBN-13: 978-0-13-205465-2
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Product Author Bios
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.
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 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
Print Quality is Very Poor,
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This review is from: Statistics for Six Sigma Green Belts with Minitab and JMP (paperback) (Paperback)
The subject matter is very good; however, the paper and print quality is terrible: streaks, white spots, out of focus type -- difficult to read.
Use of Book for Training,
This review is from: Statistics for Six Sigma Green Belts with Minitab and JMP (Hardcover)
Excellent textbook to compliment Green Belt training. Contains easy to understand descriptions of the statistical concepts and tools. Has examples on how to use Minitab software for all of the statistical analysis techniques presented in the book.
Why Minitab and JMP in one book?, By
This review is from: Statistics for Six Sigma Green Belts with Minitab and JMP (Hardcover)
The idea of writing a book about how to use statistical software for six sigma green belts is good, but it should be more focused. If you are not an owner of both Minitab and JMP, 50% of this book is Muda (waste)!
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Table of Contents
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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