Statistics for Six Sigma Black Belts

Statistics for Six Sigma Black Belts

Author: Matthew A. Barsalou

Publisher: Quality Press

Published: 2014-11-25

Total Pages: 242

ISBN-13: 0873898923

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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.


Applied Statistics for the Six Sigma Green Belt

Applied Statistics for the Six Sigma Green Belt

Author: Bhisham C. Gupta

Publisher: ASQ Quality Press

Published: 2005-01-01

Total Pages: 341

ISBN-13: 9780873896429

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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.


Six Sigma Statistics with EXCEL and MINITAB

Six Sigma Statistics with EXCEL and MINITAB

Author: Issa Bass

Publisher: McGraw Hill Professional

Published: 2007-07-18

Total Pages: 387

ISBN-13: 007154268X

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Master the Statistical Techniques for Six Sigma Operations, While Boosting Your Excel and Minitab Skills! Now with the help of this “one-stop” resource, operations and production managers can learn all the powerful statistical techniques for Six Sigma operations, while becoming proficient at Excel and Minitab at the same time. Six Sigma Statistics with Excel and Minitab offers a complete guide to Six Sigma statistical methods, plus expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by a seasoned Six Sigma Master Black Belt, the book explains how to create and interpret dot plots, histograms, and box plots using Minitab...decide on sampling strategies, sample size, and confidence intervals...apply hypothesis tests to compare variance, means, and proportions...conduct a regression and residual analysis...design and analyze an experiment...and much more. Filled with clear, concise accounts of the theory for each statistical method presented, Six Sigma Statistics with Excel and Minitab features: Easy-to-follow explanations of powerful Six Sigma tools A wealth of exercises and case studies 200 graphical illustrations for Excel and Minitab Essential for achieving Six Sigma goals in any organization, Six Sigma Statistics with Excel and Minitab is a unique, skills-building toolkit for mastering a wide range of vital statistical techniques, and for capitalizing on the potential of Excel and Minitab. Six Sigma Statistical with Excel and Minitab offers operations and production managers a complete guide to Six Sigma statistical techniques, together with expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by Issa Bass, a Six Sigma Master Black Belt with years of hands-on experience in industry, this on-target resource takes readers through the application of each Six Sigma statistical tool, while presenting a straightforward tutorial for effectively utilizing Excel and Minitab. With the help of this essential reference, managers can: Acquire the basic tools for data collection, organization, and description Learn the fundamental principles of probability Create and interpret dot plots, histograms, and box plots using Minitab Decide on sampling strategies, sample size, and confidence intervals Apply hypothesis tests to compare variance, means, and proportions Stay on top of production processes with statistical process control Use process capability analysis to ensure that processes meet customers' expectations Employ analysis of variance to make inferences about more than two population means Conduct a regression and residual analysis Design and analyze an experiment In addition, Six Sigma Statistics with Excel and Minitab enables you to develop a better understanding of the Taguchi Method...use measurement system analysis to find out if measurement processes are accurate...discover how to test ordinal or nominal data with nonparametric statistics...and apply the full range of basic quality tools. Filled with step-by-step exercises, graphical illustrations, and screen shots for performing Six Sigma techniques on Excel and Minitab, the book also provides clear, concise explanations of the theory for each of the statistical tools presented. Authoritative and comprehensive, Six Sigma Statistics with Excel and Minitab is a valuable skills-building resource for mastering all the statistical techniques for Six Sigma operations, while harnessing the power of Excel and Minitab.


Applied Data Analysis for Process Improvement

Applied Data Analysis for Process Improvement

Author: James L. Lamprecht

Publisher: Asq Press

Published: 2005-01-01

Total Pages: 283

ISBN-13: 9780873896481

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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.


The Lean Six Sigma Black Belt Handbook

The Lean Six Sigma Black Belt Handbook

Author: Frank Voehl

Publisher: CRC Press

Published: 2013-07-09

Total Pages: 625

ISBN-13: 1466554681

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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.


SIx Sigma Statistics Using Minitab 18

SIx Sigma Statistics Using Minitab 18

Author: Rehman Khan

Publisher:

Published: 2019-08-10

Total Pages: 240

ISBN-13: 9781089469230

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How do you like to learn? Is it by reading textbooks? Or do you want to learn by doing and seeing the results for yourself? If so, this book is for you as it is written as a teaching guide. The book aims to teach using example-based learning so you can learn data analysis and problem-solving at the Black Belt level. The author recognised that Six Sigma Green and Black belts need more support to understand the complex statistical techniques used within Six Sigma, but this had to be delivered effectively. In this book the author uses his experience of industrial process improvement and Minitab training to provide Six Sigma Black Belts the learning support they need to drive Minitab 18. Key Features of this book are: -Covers all main topics used by Six Sigma Black Belts. -It builds on the learning gained in the Green Belts Edition.-The main Six Sigma tools are explained in easy to understand language.-It uses example-based learning with hundreds of screenshots in the book.-The book uses brand new data sets for examples and exercises. All available to download from www.rmksixsigma.com.


Black Belt Statistics

Black Belt Statistics

Author: Thomas Sawyer

Publisher: Cognella Academic Publishing

Published: 2020-04-02

Total Pages:

ISBN-13: 9781516587278

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Black Belt Statistics: A Competency-Based Approach (Plus SPSS and R) clearly communicates statistical competencies to students, allows for practice and evaluation, and arranges competencies in a hierarchy. The workbook employs a martial arts-inspired belt system, awarding students new achievement ranks after they've demonstrated mastery of key concepts and allowing them to proceed to the next level of competencies. The workbook features 11 chapters, each of which represent a belt and proceed in ascending order from white belt to black belt. Opening chapters address basic terminology, resolving formulas, rounding figures, research designs and variables, scales of measurement, and frequency tables and graphs. In later chapters, students learn about central tendency, bivariate correlation and scatterplots, basic probability, hypothesis testing, and z and t tests. More advanced chapters cover confidence intervals, ANOVA, simple regression, Chi-Square, choosing the appropriate test, and SPSS and R programming. Designed to help students at all levels develop statistical skills and a sound knowledge base, Black Belt Statistics is an ideal supplementary workbook for courses in social science statistics and statistical methods at the undergraduate and graduate levels.


The ASQ Pocket Guide for the Certified Six Sigma Black Belt

The ASQ Pocket Guide for the Certified Six Sigma Black Belt

Author: T. M. Kubiak

Publisher: Quality Press

Published: 2013-10-15

Total Pages: 312

ISBN-13: 0873898567

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Unlike other pocket guides, this guide is designed specifically to address topics that the author has found to cause problems, issues, and concerns for most Black Belts over the years. As such, its primary purpose is to serve as a useful reference guide for the Black Belt throughout his or her busy day, and particularly in meetings. Though not intended to be a tool guide like other pocket guides or a preparation guide for the ASQ certifications, it will nonetheless serve as a useful reference guide for both the ASQ Black Belt and Master Black Belt certification examinations. Black belts will enjoy reading this pocket guide and find it invaluable in their daily work.


Six Sigma Statistics Using Minitab 19

Six Sigma Statistics Using Minitab 19

Author: Rehman Khan

Publisher:

Published: 2020-01-19

Total Pages: 244

ISBN-13:

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How do you like to learn? Is it by reading textbooks? Or do you want to learn by doing and seeing the results for yourself? If so, this book is for you as it is written as a teaching guide. The book aims to teach using example-based learning so you can learn data analysis and problem-solving at the Green Belt level. The author recognised that Six Sigma Green and Black belts needed more support to understand the complex statistical techniques used within Six Sigma, but this had to be delivered effectively. In this book, the author uses his experience of industrial process improvement and Minitab training to provide Six Sigma Green Belts with the learning support they need to drive Minitab 19. Key Features of this book are: -Covers all main topics used by Six Sigma Green Belts in easy to understand language. -Improved and updated for Minitab 19.-The main Six Sigma tools are explained. It uses example-based learning with hundreds of screenshots in the book.-Focusses on using the Assistant and includes features such as Sequential DOE and Multiple Regression.-The data sets for the examples and exercises are available to download from www.rmksixsigma.com; along with model answers. -Support Videos are also available from the RMK Six Sigma Youtube channel.-Examples cover both continuous and attribute data where possible.