Statistics for Six Sigma Green Belts with Minitab and JMP统计学：六西格玛绿带

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.

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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.

Acknowledgments
About the Author
Preface
Chapter 1: Fundamentals of Six Sigma
　Introduction
1.1 What Is Six Sigma?
The DMAIC Model
1.2 Roles in a Six Sigma Organization
Master Black Belt
Black Belt
Green Belt
1.3 Statistics and Six Sigma
1.4 Learning Statistics for Six Sigma Using This Book
Summary
References
Chapter 2: Introduction to Statistics
Introduction
2.1 Enumerative and Analytic Studies
Distinguishing Between Enumerative and Analytic Studies
2.2 Types of Sampling
Simple Random Sample
Straified Sample
Cluster Sample
2.3 Types of Variables
2.4 Operational Definitions
Summary
References
A2.1 Introduction to Minitab Version 14
Minitab Overview
Using Minitab Worksheets
Opening and Saving Worksheets and Other Components
Printing Worksheets,Graphs,and Sessions
Selecting a Random Sample
A2.2 Introduction to JMP Version 6
JMP Overview
Using JMP Data Tables
Selecting a Pandom Sample
Chapter 3: Presenting Data in Charts and Tables
Introduction
3.1 Graphing Attribute Data
3.2 Graphing Measurement Data
Summary
References
A3.1 Using Minitab to Construct Charts
A3.2 Using JMP to Construct Charts
Chapter 4: Descriptive Statistics
Introduction
4.1 Measures of Central Tendency
4.2 Measures of Variation
4.3 The Shape of Distributions
Summary
References
A4.1 Using Minitab for Descriptive Statistics
A4.2 Using JMP for Descriptive Statistics
Chapter 5: Probability and Probability Distributions
Chapter 6: Sampling Distributions and Confidence Intervals
Chapter 7: Hypothesis Testing
Chapter 8: Design of Experiments
Chapter 9: Simple Linear Regression
Chapter 10: Multiple Regression
Chapter 11: Control Charts for Six Sigma Management
Appendix A: Review of Arithmetic and Algebra
Appendix B: Summation Notation
Appendix C: Statistical Tables
Appendix D: Documentation of Data Files
Glossary
Index