This book is a desk reference for Six Sigma green belts or beginners who are not familiar with statistics. As Six Sigma team members, green belts will help select, collect data for, and assist with the interpretation of a variety of statistical or quantitative tools within the context of the Six Sigma methodology. This book will serve as an excellent instructional tool developing a strong understanding of basic statistics including how to describe data both graphically and numerically. It’s specific focus is on concepts, applications, and interpretations of the statistical tools used during, and as part of, the Design, Measure, Analyze, Improve, and Control (DMAIC) methodology. Unlike most books for Six Sigma beginners, this book is not just an explanation of Six Sigma, it offers actual tools and theories to help practitioners better understand and perform their jobs in collecting and analyzing data. Readers using this book will learn to understand the benefits of data as an objective measure, as well as the process of using selected tools for analyzing data and how to make decisions based on quantitative inputs.Content:Front Matter List of Figures List of Tables Introduction Preface Table of Contents1. Setting the Context for Six Sigma2. Getting Started with Statistics3. Describing Data Graphically4. Describing Data Numerically5. Probability6. Discrete Random Variables and Their Probability Distributions7. Continuous Random Variables and Their Probability Distributions8. Sampling Distributions9. Point and Interval Estimation10. Hypothesis Testing11. Computer Resources to Support Applied Statistics: Using MINITAB® and JMP® Statistical Software GlossaryAppendix Bibliography About the AuthorsIndexContents of CD-ROM