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Statistics for Six Sigma Green Belts with Minitab and JMP David M. Levine

Statistics for Six Sigma Green Belts with Minitab and JMP By David M. Levine

Statistics for Six Sigma Green Belts with Minitab and JMP by David M. Levine


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Summary

Provides a simple nonmathematical presentation of the statistics needed by Six Sigma Green Belts. This work includes examples, instructions and sample output for Minitab and JMP software. It covers applications to service industries to help managers understand the role of Six Sigma in nonmanufacturing industries.

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Statistics for Six Sigma Green Belts with Minitab and JMP Summary

Statistics for Six Sigma Green Belts with Minitab and JMP by David M. Levine

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

About David M. Levine

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.

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

Additional information

CIN0132291959A
9780132291958
0132291959
Statistics for Six Sigma Green Belts with Minitab and JMP by David M. Levine
Used - Well Read
Hardback
Pearson Education (US)
20060615
400
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book. We do our best to provide good quality books for you to read, but there is no escaping the fact that it has been owned and read by someone else previously. Therefore it will show signs of wear and may be an ex library book

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