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Statistics for Six Sigma Green Belts with Minitab and JMP (paperback)

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Statistics for Six Sigma Green Belts with Minitab and JMP (paperback)

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Description

  • 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

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

Sample Content

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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