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 realworld 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
Table of contents
 Copyright
 Acknowledgments
 About The Author
 Preface
 Fundamentals of Six Sigma
 Introduction to Statistics
 Presenting Data in Charts and Tables
 Descriptive Statistics

Probability and Probability Distributions
 What is Probability?
 Some Rules of Probability
 The Probability Distribution
 The Binomial Distribution
 The Poisson Distribution
 The Normal Distribution
 The Normal Probability Plot
 Summary

References
 Appendix 5.1 Using Minitab for Probability Distributions and Plots
 Appendix 5.2 Using JMP for Probability Distributions and Plots

Sampling Distributions and Confidence Intervals
 Sampling Distributions
 Basic Concepts of Confidence Intervals
 Confidence Interval Estimate for The Mean (σ Unknown)
 Prediction Interval Estimate for A Future Individual Value
 Confidence Interval Estimate For The Proportion
 Summary

References
 Appendix 6.1 Using Minitab to Construct Confidence Intervals
 Appendix 6.2 Using JMP to Construct Confidence Intervals

Hypothesis Testing
 Introduction
 Fundamental Concepts of Hypothesis Testing
 Testing for The Difference Between Two Proportions
 Testing for The Difference Between The Means of Two Independent Groups
 Testing for The Difference Between Two Variances
 OneWay Anova: Testing for Differences Among The Means of Three or More Groups
 Wilcoxon Rank Sum Test for The Difference Between Two Medians
 KruskalWallis Rank Test: Nonparametric Analysis for The OneWay Anova
 Summary

References
 Appendix 7.1 Using Minitab for Hypothesis Testing
 Appendix 7.2 Using JMP for Hypothesis Testing
 Design of Experiments

Simple Linear Regression
 Introduction
 Types of Regression Models
 Determining The Simple Linear Regression Equation
 Measures of Variation
 Assumptions
 Residual Analysis
 Inferences About The Slope
 Estimation of Predicted Values
 Pitfalls in Regression Analysis
 Summary

References
 Appendix 9.1 Using Minitab for Simple Linear Regression
 Appendix 9.2 Using JMP for Simple Linear Regression

Multiple Regression
 Introduction
 Developing The Multiple Regression Model
 Coefficient of Multiple Determination and The Overall F Test
 Residual Analysis for The Multiple Regression Model
 Inferences Concerning The Population Regression Coefficients
 Using Dummy Variables and Interaction Terms in Regression Models
 Collinearity
 Model Building
 Logistic Regression
 Summary

References
 Appendix 10.1 Using Minitab for Multiple Regression
 Appendix 10.2 Using JMP for Multiple Regression

Control Charts for Six Sigma Management
 Basic Concepts of Control Charts
 Control Limits and Patterns
 Rules for Determining OutofControl Points
 The pChart
 The cChart
 The uChart
 Control Charts for The Mean and Range
 Control Charts for The Mean and The Standard Deviation
 Individual Value and Moving Range Charts
 Summary

References
 Appendix 11.1 Using Minitab for Control Charts
 Appendix 11.2 Using JMP for Control Charts
 Review of Arithmetic and Algebra
 Summation Notation
 Statistical Tables
 Documentation of Data Files
 Glossary
Product information
 Title: Statistics for Six Sigma Green Belts with Minitab and JMP
 Author(s):
 Release date: June 2006
 Publisher(s): Pearson
 ISBN: 9780132291958
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