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Summary
Summary
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. This book shows how to capture the right information, and use it to improve quality throughout the entire process.
Author Notes
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.
Excerpts
Excerpts
Preface Green belts working in a Six Sigma organization need to be familiar with statistics because statistical tools are an essential part of each phase of the Six Sigma DMAIC model. This book focuses on those statistical tools that are most important for Six Sigma green belts. The objective of this book is to familiarize readers with these tools, so that they will be able to use either the Minitab or JMP software to analyze their data. Among the important features of this book are the following: Provides a simple nonmathematical presentation of topics. Every concept is explained in plain English with a minimum of mathematical symbols. Most of the equations are separated into optional boxes that complement the main material. Covers the statistical topics that are most important for Six Sigma green belts. After beginning with the use of tables and charts and descriptive statistics, the book includes coverage of those statistical topics that are most important for Six Sigma green belts; i.e., statistical process control charts, design of experiments, and regression. This book minimizes emphasis on probability, probability distributions, and sampling distributions. Covers statistical topics by focusing on the interpretation of output generated by the Minitab and JMP software. Includes chapter-ending appendices that provide step-by-step instructions (with screenshots of dialog boxes) for using Minitab Version 14 and JMP Version 6 for the statistical topics covered in the chapter. Provides step-by-step instructions using worked-out examples for each statistical method covered. Includes service industry applications. This book focuses on applications of Six Sigma in service industries. These service applications enable those who work in service industries to understand the role of Six Sigma in their industries, something that is difficult for them to see when examples from manufacturing industries are used. Contacting the Author I have gone to great lengths to make this book both pedagogically sound and error-free. If you have any suggestions or require clarification about any of the material, or if you find any errors, contact me at DAVID_LEVINE@BARUCH.CUNY.EDU David M. Levine (c) Copyright Pearson Education. All rights reserved. Excerpted from Statistics for Six SIGMA Green Belts with Minitab and JMP by David M. Levine All rights reserved by the original copyright owners. Excerpts are provided for display purposes only and may not be reproduced, reprinted or distributed without the written permission of the publisher.Table of Contents
| Acknowledgments | p. xvii |
| About the Author | p. xix |
| Preface | p. xxi |
| Chapter 1 Fundamentals of Six Sigma | p. 1 |
| Chapter 2 Introduction to Statistics | p. 7 |
| Chapter 3 Presenting Data in Charts and Tables | p. 23 |
| Chapter 4 Descriptive Statistics | p. 39 |
| Chapter 5 Probability and Probability Distributions | p. 59 |
| Chapter 6 Sampling Distributions and Confidence Intervals | p. 95 |
| Chapter 7 Hypothesis Testing | p. 113 |
| Chapter 8 Design of Experiments | p. 157 |
| Chapter 9 Simple Linear Regression | p. 211 |
| Chapter 10 Multiple Regression | p. 241 |
| Chapter 11 Control Charts for Six Sigma Management | p. 279 |
| Appendix A Review of Arithmetic and Algebra | p. 321 |
| Appendix B Summation Notation | p. 329 |
| Appendix C Statistical Tables | p. 333 |
| Appendix D Documentation of Data Files | p. 347 |
| Glossary | p. 349 |
| Index | p. 359 |
