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, Applied Statistics for the Six Sigma Green Belt 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.

Included in the book are practice problems for each chapter, with their solutions fully worked-out on an accompanying CD-ROM.

Sample Chapter

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• Additional Information
  • ISBN: 978-0-87389-642-9
  • Item Number: H1236
  • Dimensions: 7 x 10
  • For details on using this product as a textbook for your course or class, contact us
• About the Author(s)
  Bhisham C. Gupta is a professor of Statistics at the University of Southern Maine. He has taught numerous topics of statistics, including probability theory, statistical inference, biostatistics, linear models, regression analysis, design of experiments, analysis of variance, sampling techniques, quality control, nonparametric methods, and applied statistics for engineers at undergraduate and graduate levels in the United States, Canada, Brazil, and India. Gupta developed undergraduate and graduate programs at the Federal University of Rio de Janeiro, Brazil, and at the University of Southern Maine. He also organized the first Brazilian National Symposium of Probability and Statistics. Gupta has published 35 research papers in well-reputed international journals. His research interests include sampling theory, design of experiments, and statistical quality control. He has also co-authored or authored Regression and Analysis of Variance Techniques and Elements of Probability Theory (in Portuguese). H. Fred Walker is the department chair and graduate coordinator in the Department of Technology at the University of Southern Maine. Walker develops and teaches graduate courses in applied research methods, engineering economy, quality systems, statistical quality control, quality engineering, design of experiment applications in manufacturing, manufacturing strategies, and project management. He also develops and teaches undergraduate courses in quality, industrial statistics, statistical quality control, cost analysis and control, human resource management, project management, and technical writing. Walker has written nearly 30 refereed articles published in national and international journals. Fred also co-edited and co-authored the Certified Quality Engineering Handbook (2nd ed.) and co-authored the Certified Quality Technician Handbook, both published by ASQ Quality Press. Walker is a Certified Quality Manager, Certified Quality Engineer, Certified Quality Auditor, Certified Manufacturing Technologist, Certified Senior Industrial Technologist, and Six Sigma Black Belt.