Statistics for Six Sigma Green Belts with Minitab and JMP统计学：六西格玛绿带 caj kindle 百度云 azw3 夸克云 下载 pdb pdf

　　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

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

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

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书籍介绍

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 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