Statistics For Six Sigma Black Belts

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.

Six Sigma Black Belts are expected to have the skills of a good experimenter, possessing both a deep understanding of statistics and a knowledge of the industry in which they work. 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 and formulas. 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. Included in appendices are a flowchart that provides the correct statistical test for a given use and type; flowcharts depicting the five steps for hypothesis testing; the statistical formulas in tables to serve as a quick reference; and statistical tables.

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. Ites 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. Preview a sample chapter from this book along with the full table of contents by clicking here. You will need Adobe Acrobat to view this pdf file.

The best Six Sigma black belt handbook has been fully revised, updated, and expanded! This third edition has been updated to reflect the most recent ASQ a href="https://asq.org/cert/six-sigma-black-belt"Six Sigma Black Belt, Body of Knowledge (BOK), released in 2015. Among the many additions are: more exercises, particularly to address the more difficult concepts; new tables and figures to clarify concepts; new content between the DMAIC parts of the book (that is, Parts IV, VII) to help smooth the transition between phases and to better relate the underlying concepts of the DMAIC methodology; and more content that ensures that the black belt is fully trained in concepts taught to the green belt. The primary audience for this work is the individual who plans to prepare to sit for the Six Sigma black belt certification examination. A secondary audience for the handbook is the quality and Six Sigma professional who would like a relevant Six Sigma reference book. The accompanying CD contains 180 supplementary problems covering each chapter and a 150-question simulated exam that has problems distributed among chapters per the scheme published in the BOK. New to this edition, the problems are now fully worked so that readers can more readily follow the problem-solving process.

The marriage between Lean Manufacturing and Six Sigma has proven to be a powerful tool for cutting waste and improving the organization’s operations. This third book in the Six Sigma Operations series picks up where other books on the subject leave off by providing the six sigma practioners with a statistical guide for solving problems they may encounter in implementing and managing a Lean Six Sigma programs. The book draws it examples from all sectors of business ranging from financial to manufacturing providing the reader with a wealth of case studies and as numerous worked out equations which are designed to facilitate the full potential of any Lean Six Sigma project.

Although Lean and Six Sigma appear to be quite different, when used together they have shown to deliver unprecedented improvements to quality and profitability. The Lean Six Sigma Black Belt Handbook: Tools and Methods for Process Acceleration explains how to integrate these seemingly dissimilar approaches to increase production speed while decreasing variations and costs in your organization. Presenting problem-solving tools you can use to immediately determine the sources of the problems in your organization, the book is based on a recent survey that analyzed Six Sigma tools to determine which are the most beneficial. Although it focuses on the most commonly used tools, it also includes coverage of those used a minimum of two times on every five Six Sigma projects. Filled with diagrams of the tools you’ll need, the book supplies a comprehensive framework to help you for organize and process the vast amount of information currently available about Lean, quality management, and continuous improvement process applications. It begins with an overview of Six Sigma, followed by little-known tips for using Lean Six Sigma (LSS) effectively. It examines the LSS quality system, its supporting organization, and the different roles involved. Identifying the theories required to support a contemporary Lean system, the book describes the new skills and technologies that you need to master to be certified at the Lean Six Sigma Black Belt (LSSBB) level. It also covers the advanced non-statistical and statistical tools that are new to the LSSBB body of knowledge. Presenting time-tested insights of a distinguished group of authors, the book provides the understanding required to select the solutions that best fit your organization's aim and culture. It also includes exercises, worksheets, and templates you can easily customize to create your own handbook for continuous process improvement. Designed to make the methodologies you choose easy to follow, the book will help Black Belts and Senseis better engage their employees, as well as provide an integrated and visual process management structure for reporting and sustaining continuous improvement breakthroughs and initiatives.

Not a tool guide or a test-prep guide, this book is designed specifically to address topics that the author has found to cause problems, issues, and concerns for most Black Belts over the years.

With the rise of Six Sigma, the use of statistics to analyze and improve processes has once again regained a prominent place in businesses around the world. an increasing number of employees and managers, bestowed with the titles Green Belt, Black Belt, or even Master Black Belts, are asked to apply statistical techniques to analyze and resolve industrial and non-industrial (also known as transactional) problems. These individuals are continuously faced with the daunting task of sorting out the vast array of sophisticated techniques placed at their disposal by an equally impressive array of statistical computer software packages. This book is intended for the ever-growing number of certified Black Belts as well as uncertified others that would like to understand how data can be analyzed. Many courses, including Six Sigma Black Belt courses, do a good job introducing participants to a vast array of sophisticated statistical techniques in as little as ten days, leaning heavily on statistical software packages. Although it is true that one can simplify statistical principles, learning how to interpret results produced by any statistical software requires the understanding of statistics that this book concisely provides.