**A PLAIN ENGLISH GUIDE TO SOLVING REAL-WORLD PROBLEMS WITH SIX SIGMA**

Six Sigma is one of the most effective strategies for improving processes, creating better products, and boosting customer satisfaction, but business leaders often balk at its reputation for being too complex. Don't fall into that trap. Six Sigma is simple to understand and implement--if you have Statistics for *Six Sigma Made Easy!*

Warren Brussee has helped businesses save millions of dollars with Six Sigma, and he explains how you can achieve similar results in this step-by-step guide. He presents a thorough overview of the Six Sigma methodology and techniques for successful implementation, as well as a clear explanation of DMAIC--the problem-solving method used by Six Sigma Greenbelts. *Statistics for Six Sigma Made Easy!* provides:

• A simplified form of the most common Six Sigma tools

• All the basic Six Sigma formulas and tables

• Dozens of Six Sigma statistical problem-solving case studies

• A matrix for finding the right statistical tool to meet your needs

• Basic Greenbelt training in one concise reference

Best of all, no background in statistics is required--you can start improving quality and initiating costsavingimprovements right away. *Statistics for Six Sigma Made Easy!* is the only reference you need to facilitate real-world application of Six Sigma tools.

- Cover Page
- STATISTICS FOR SIX SIGMA MADE EASY!, Second Edition
- Copyright Page
- Contents
- Acknowledgments
- Introduction
- Part I Overview of the Six Sigma Process and the DMAIC Road Map
- Part II Qualitative Six Sigma Tools
- Part III Foundations for Using Statistical Six Sigma Tools
- Part IV Six Sigma Tools to Test for Statistically Significant Change
- Part V Additional Six Sigma Tools
- Part VI Statistical Tools for Design for Six Sigma
- Part VII Quality Department Data and Manufacturing Innovation
- Appendix A The Six Sigma Statistical Tool Finder Matrix
- Appendix B Six Sigma Tool Checkoff List
- Appendix C Formulas Used in This Book
- Appendix D Tables Used in This Book
- Appendix E Glossary of Terms
- Index
- About the Author