Overview

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

Full Product Details

Author:   David M. Levine
Publisher:   Pearson Education (US)
Imprint:   Financial TImes Prentice Hall
Dimensions:   Width: 18.40cm , Height: 3.80cm , Length: 23.60cm
Weight:   0.894kg
ISBN:  

9780132291958

ISBN 10:   0132291959
Pages:   400
Publication Date:   15 June 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Out of stock  

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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Author Information

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.

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