Bøker av Matthew A. Barsalou

This book was written to provide guidance for those who need to apply statistical methods for practical use. While the book provides detailed guidance on the use of Minitab for calculation, simply entering data into a software program is not sufficient to reliably gain knowledge from data. The software will provide an answer, but the answer may be wrong if the sample was not taken properly, the data was unsuitable for the statistical test that was performed, or the wrong test was selected. It is also possible that the answer will be correct, but misinterpreted. This book provides both guidance in applying the statistical methods described as well as instructions for performing calculations without a statistical software program such as Minitab.One of the authors is a professional statistician who spent nearly 13 years working at Minitab and the other is an experienced and certified Lean Six Sigma Master Black Belt. Together, they strive to present the knowledge of a statistician in a format that can be easily understood and applied by non-statisticians facing real-world problems.Their guidance is provided with the goal of making data analysis accessible and practical. Rather than focusing on theoretical concepts, the book delivers only the information that is critical to success for the practitioner. It is a thorough guide for those who have not yet been exposed to the value of statistics, as well as a reliable reference for those who have been introduced to statistics but are not yet confident in their abilities.Supplemental files available! If you are an instructor who would like to conduct training with this book, please visit this "https://asqassets.widencollective.com/portals/sybdffda/(H1550)AppliedStatisticsManualAGuidetoImprovingandSustainingQualitywithMinitab" access: Course descriptions for one or two semester university courses Chapter descriptions for standalone sessions A data file containing data sets used in the book

This book is written for the Six Sigma Black Belt who needs an understanding of many statistical methods but does not use all of these methods every day. It is intended to be used as a quick reference, providing basic details, step-by-step instructions, and Minitab statistical software instructions.Six Sigma Black Belts typically use a statistical program such as Minitab to perform calculations, but an understanding of the underlying statistics is still needed. Anybody can type data into a program; a Black Belt must be capable of understanding which hypothesis test is appropriate for a given use, as well as the assumptions that must be met to correctly perform the hypothesis test.The methods presented here are laid out according to the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) phases in which they are typically used. However, these methods can also be applied outside of a Six Sigma project, such as when one simply needs to determine whether there is a difference in the means of two processes producing the same parts.A Six Sigma Black Belt using Statistics for Six Sigma Black Belts will be able to quickly zero in on appropriate methods and follow the examples to reach the correct statistical conclusions.

The Quality Improvement Field Guide covers the key aspects that quality professionals need to know to attain mastery in their field. After reading this book, readers will not only gain an understanding of the key quality improvement concepts, but will also gain the practical insight required to implement them correctly. Describing each quality method with sufficient detail so that readers can immediately apply them, this book is an ideal guide for anyone new to the field of quality as well as experienced quality professionals who need a quick overview.

This book covers root cause analysis (RCA), with an emphasis on using quality tools to empirically investigate issues. It starts with the theoretical background and then provides step-by-step instructions for performing RCA using various quality tools. The book explains how to use plan-do-check-act (PDCA) together with the scientific method and quality tools when investigating quality failures. The tools and concepts presented are appropriate for both the manufacturing industry and service industry.