## Book description

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

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

2. Acknowledgments
4. Preface
5. Fundamentals of Six Sigma
6. Introduction to Statistics
7. Presenting Data in Charts and Tables
8. Descriptive Statistics
1. Introduction
2. Measures of Central Tendency
3. Measures of Variation
4. The Shape of Distributions
5. Summary
6. References
7. Appendix 4.1 Using Minitab for Descriptive Statistics
8. Appendix 4.2 Using JMP for Descriptive Statistics
9. Probability and Probability Distributions
1. What is Probability?
2. Some Rules of Probability
3. The Probability Distribution
4. The Binomial Distribution
5. The Poisson Distribution
6. The Normal Distribution
7. The Normal Probability Plot
8. Summary
9. References
10. Appendix 5.1 Using Minitab for Probability Distributions and Plots
11. Appendix 5.2 Using JMP for Probability Distributions and Plots
10. Sampling Distributions and Confidence Intervals
11. Hypothesis Testing
1. Introduction
2. Fundamental Concepts of Hypothesis Testing
3. Testing for The Difference Between Two Proportions
4. Testing for The Difference Between The Means of Two Independent Groups
5. Testing for The Difference Between Two Variances
6. One-Way Anova: Testing for Differences Among The Means of Three or More Groups
7. Wilcoxon Rank Sum Test for The Difference Between Two Medians
8. Kruskal-Wallis Rank Test: Nonparametric Analysis for The One-Way Anova
9. Summary
10. References
11. Appendix 7.1 Using Minitab for Hypothesis Testing
12. Appendix 7.2 Using JMP for Hypothesis Testing
12. Design of Experiments
1. Introduction
2. Design of Experiments: Background and Rationale
3. Two-Factor Factorial Designs
4. 2k Factorial Designs
5. Fractional Factorial Designs
6. Summary
7. References
8. Appendix 8.1 Using Minitab for the Design of Experiments
9. Appendix 8.2 Using JMP for the Design of Experiments
13. Simple Linear Regression
14. Multiple Regression
15. Control Charts for Six Sigma Management
16. Review of Arithmetic and Algebra
17. Summation Notation
18. Statistical Tables
19. Documentation of Data Files
20. Glossary

## Product information

• Title: Statistics for Six Sigma Green Belts with Minitab and JMP
• Author(s): David M. Levine
• Release date: June 2006
• Publisher(s): Pearson
• ISBN: 9780132291958