Statistics for Six Sigma Green Belts with Minitab and JMP统计学

2006-6  

Pearson P T R  

Levine, David M.  

368  

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　　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.

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 sever

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 ReferencesChapter 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 StatisticsChapter 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 RegressionChapter 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

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