Download or read book Applied Statistics for the Six Sigma Green Belt written by Bhisham C. Gupta and published by . This book was released on 2005 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Applied Statistics for the Six Sigma Green Belt written by Bhisham C. Gupta and published by ASQ Quality Press. This book was released on 2005-01-01 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Statistics for Six Sigma Green Belts written by David M. Levine and published by Prentice Hall. This book was released on 2006 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: To make Six Sigma work, executive and managerial "greenbelts" and "champions" need to understand core statistical concepts and techniques--but they don't need to become professional statisticians. Now, there's a concise, non-mathematical guide to all the statistics they need--and none of the statistics they don't need. The author shows them exactly how to capture the right information, make sense of it, and use it to improve quality throughout the entire Six Sigma DMAIC process. Levine illuminates topics ranging from statistical process control and experimental design to regression analysis and hypothesis testing. Drawing on the experience that has made him one of the world's most honored statistics educators, Levine presents statistical topics with the least possible mathematics. Throughout, he teaches through realistic examples--including many examples from the service industries, among the fastest-growing areas of Six Sigma implementation.

Download or read book Statistical Quality Control for the Six Sigma Green Belt written by Bhisham C. Gupta and published by . This book was released on 2007 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a desk reference and instructional aid for individuals involved with, or preparing for involvement with, Six Sigma project teams. As Six Sigma team members, Green Belts 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. The second in a four-book series geared specifically for these Green Belt activities, this book provides a thorough discussion of statistical quality control (SQC) tools. These tools are introduced and discussed from the perspective of application rather than theoretical development. From this perspective, readers are taught to consider the SQC tools as statistical "alarm bells" that send signals when there are one or more problems with a particular process." "Guidance is also given on the use of Minitab and JMP in doing these various SQC applications. In addition, examples and sample problems from all industries appear throughout the book to aid a Green Belt's comprehension of the material."--BOOK JACKET.

Download or read book The ASQ Pocket Guide to Statistics for Six Sigma Black Belts written by Matthew A. Barsalou and published by Quality Press. This book was released on 2014-11-14 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Applied Data Analysis for Process Improvement written by James L. Lamprecht and published by Asq Press. This book was released on 2005-01-01 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Applied Statistics Manual written by Matthew A. Barsalou and published by Quality Press. This book was released on 2018-12-19 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Statistical Quality Control for the Six Sigma Green Belt written by Bhisham C. Gupta and published by Quality Press. This book was released on 2007-06-30 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a desk reference and instructional aid for those individuals currently involved with, or preparing for involvement with, Six Sigma project teams. As Six Sigma team members, Green Belts 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. The second in a four-book series geared specifically for these Green Belt activities, this book provides a thorough discussion of statistical quality control (SQC) tools. These tools are introduced and discussed from the perspective of application rather than theoretical development. From this perspective, readers are taught to consider the SQC tools as statistical “alarm bells” that send signals when there are one or more problems with a particular process. Guidance is also given on the use of Minitab and JMP in doing these various SQC applications. In addition, examples and sample problems from all industries appear throughout the book to aid a Green Belt's comprehension of the material.

Download or read book Statistics for Six Sigma Made Easy Six Sigma Methodology and Management s Role in Implementation written by Warren Brussee and published by McGraw Hill Professional. This book was released on 2004-05-12 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.

Download or read book Statistics for Six Sigma Black Belts written by Matthew A. Barsalou and published by Quality Press. This book was released on 2014-11-25 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Statistics for Six Sigma Made Easy Chapter 19 Comparing Six Sigma Data with Quality Department Data written by Warren Brussee and published by McGraw Hill Professional. This book was released on 2004-05-12 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.

Download or read book Statistics for Six Sigma Made Easy Chapter 14 Testing for Statistically Significant Change Using Non Normal Distributions written by Warren Brussee and published by McGraw Hill Professional. This book was released on 2004-05-12 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.

Download or read book Statistics for Six Sigma Made Easy Chapter 18 Simplified Linear Transfer Functions written by Warren Brussee and published by McGraw Hill Professional. This book was released on 2004-05-12 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.

Download or read book Applied Data Analysis for Process Improvement written by James L. Lamprecht and published by Quality Press. This book was released on 2004-12-08 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: At last, a book that offers the reader a practical approach to process improvement using examples of common problems faced by data analysts! Author James L. Lamprecht, an experienced, widely published statistician, Master Black Belt, teacher, and consultant, has succeeded in combining examples that guide the reader through data analysis, Six Sigma project definition, conducting experiments, graphical analysis, and errors to avoid, all in one concise text. Unlike other books on data analysis, Lamprecht steers clear of classic, or “perfect” examples, preferring instead to address the everyday issues that data analysts confront, and explain the value certain data does and does not offer. The book includes numerous graphs that illustrate ways to intuitively analyze data. Data analysis techniques are presented first, then the author introduces Six Sigma concepts and integrates the two disciplines in a concluding chapter.!--nl--This book is ideal for Certified Six Sigma Black Belts as well as those who are uncertified, but would like to understand how data can be analyzed. Even those who rely on sophisticated statistical software to conduct their Six Sigma analysis will benefit from this insightful yet easy-to-use book by developing a true understanding of statistics and a better understanding of the results they are receiving. Numerous examples illustrate how various techniques are applied. Each example is reviewed from the perspective of what was not said in the example; in other words, the very information you will be faced with when you conduct your own analysis. Titles of some sections in the book include the words "optional" or "advanced." These sections cover more advanced but nonetheless useful topics, but skipping these sections will not affect the overall flow of the various subjects presented.

Download or read book The ASQ Certified Six Sigma Green Belt Handbook written by Roderick A. Munro and published by Quality Press. This book was released on 2022-06-30 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is designed to help candidates preparing for the ASQ Six Sigma Green Belt certification exam. Meant for those who already understand the basic concepts of reducing variation and improving processes, it also serves as a helpful reference to the appropriate materials needed to conduct successful Green Belt projects. The layout of the handbook is mapped to the 2022 version of ASQ’s Body of Knowledge (BoK). This revised edition includes new information about: • SMART goals, key process indicators, Takt time, just-in-time processes, and spaghetti diagrams • The Kano model, risk management, business continuity planning, SWOT analysis, and RACI charts • Data collection plans and quality checks • Gap analysis, 5 Whys analysis, and fault tree analysis • Maintaining quality improvements • Document control, audits, training plans, the PDCA cycle, Andon, and Jidoka system

Download or read book Applied Statistics in Physical Education and Sports written by Dr. M.R. Dhinu and published by Friends Publications (India). This book was released on 2021-04-17 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book titled Applied Statistics in Physical Education is written on the revised and updated syllabus of M.P.Ed Physical Education. The book covers: UNIT I – Introduction Meaning and Definition of Statistics. Function, need and importance of Statistics. Types of Statistics. Meaning of the terms, Population, Sample, Data, types of data. Variables; Discrete, Continuous. Parametric and non-parametric statistics. UNIT II – Data Classification, Tabulation and Measures of Central Tendency Meaning, uses and construction of frequency table. Meaning, Purpose, Calculation and advantages of Measures of central tendency – Mean, median and mode. UNIT III – Measures of Dispersions and Scales Meaning, Purpose, Calculation and advances of Range, Quartile, Deviation, Mean Deviation, Standard Deviation, Probable Error. Meaning, Purpose, Calculation and advantages of scoring scales; Sigma scale, Z Scale, Hull scale UNIT IV – Probability Distributions and Graphs Normal Curve. Meaning of probability- Principles of normal curve – Properties of normal curve. Divergence form normality – Skewness and Kurtosis. Graphical Representation in Statistics; Line diagram, Bar diagram, Histogram, Frequency Polygon, Ogive Curve. UNIT V – Inferential and Comparative Statistics Tests of significance; Independent “t” test, Dependent “t” test – chi – square test, level of confidence and interpretation of data. Meaning of correlation – co-efficient of correlation – calculation of co- efficient of correlation by the product moment method and rank difference method. Concept of ANOVA and ANCOVA. The book is written considering the students and language of the book is simple and easy to understand.

Download or read book Statistics for Six Sigma Made Easy Chapter 2 Dmaic The Basic Six Sigma Roadmap written by Warren Brussee and published by McGraw Hill Professional. This book was released on 2004-05-12 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.