Applied Statistics for the Six Sigma Green Belt

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 Contents 1. Setting the Context for Six Sigma 2. Getting Started with Statistics 3. Describing Data Graphically 4. Describing Data Numerically 5. Probability 6. Discrete Random Variables and Their Probability Distributions 7. Continuous Random Variables and Their Probability Distributions 8. Sampling Distributions 9. Point and Interval Estimation 10. Hypothesis Testing 11. Computer Resources to Support Applied Statistics: Using MINITAB® and JMP® Statistical Software • Glossary Appendix • Bibliography • About the Authors Index Contents of CD-ROM Reliability engineers are professionals who understand the principles of performance evaluation and prediction to improve product/systems safety, reliability, and maintainability. This handbook s chapters and sections match the Body of Knowledge (BOK) specified for ASQ s Reliability Engineer certification, which includes design review and control; prediction, estimation, and apportionment methodology; failure mode effects and analysis; the planning, operation, and analysis of reliability testing and field failures, including mathematical modeling; understanding human factors in reliability; and the ability to develop and administer reliability information systems for failure analysis, design and performance improvement, and reliability program management over the entire product life cycle. This handbook provides reliability engineers with the theory and tools needed to meet ever-increasing reliability requirements. An accompanying CD contains supplementary problems covering each chapter and a simulated exam that has problems distributed among the chapters according to the scheme published in the BOK. Applied Statistics for the Six Sigma Green Belt 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. Its 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.

gupta (mathematics And Statistics, University Of Southern Maine) And Walker (technology, University Of Southern Maine) Provide A Desk Reference For Six Sigma Green Belts And For Beginners Who Are Not Familiar With Statistics But Need To Better Understand How To Implement Six Sigma In Their Jobs. 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. Annotation ©2004 Book News, Inc., Portland, Or

Through a series of case studies this book introduces the reader to the basic concepts of forensic civil engineering