Statistics for Six SIGMA Made Easy, Chapter 14 - Testing for Statistically Significant Change Using Non-Normal Distributions

by Warren Brussee

This chapter is from "Statistics for Six Sigma Made Easy," a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.

Kindle Edition

First published May 12, 2004

About the author

Warren Brussee began writing after retiring from GE, where he managed an engineering team and was trained in Six Sigma. Frustrated by overly complex resources, he authored Statistics for Six Sigma Made Easy, followed by two more books with McGraw-Hill. His interest in economic trends led to The Second Great Depression, later updated by Wiley as The Great Depression of Debt. He also published a children’s book, Laoch the Guide Dog Puppy, and a mystery novel, The Child Remover, showcasing his diverse writing interests across nonfiction, economics, and fiction.