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.

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.

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.

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.

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.

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.