Statistics for Six Sigma Green Belts

Statistics for Six Sigma Green Belts PDF Author: David M. Levine
Publisher: Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 406

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Book Description
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.

Six Sigma Statistics with EXCEL and MINITAB, Chapter 2 - An Overview of Minitab and Microsoft Excel

Six Sigma Statistics with EXCEL and MINITAB, Chapter 2 - An Overview of Minitab and Microsoft Excel PDF Author: Issa Bass
Publisher: McGraw Hill Professional
ISBN: 0071735364
Category : Business & Economics
Languages : en
Pages : 22

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Book Description
Here is a chapter from Six Sigma Statistics with Excel and MINITAB. This is a comprehensive and easy-to-use guide for understanding and using Excel and MINITAB programs for Six Sigma statistical data analysis. Each chapter includes relevant theory and technique, step-by-step exercises, case studies, graphical illustrations and screen shots for performing the techniques in both Excel and MINITAB.

Six Sigma Statistics with EXCEL and MINITAB, Chapter 3 - Basic Tools for Data Collection, Organization and Description

Six Sigma Statistics with EXCEL and MINITAB, Chapter 3 - Basic Tools for Data Collection, Organization and Description PDF Author: Issa Bass
Publisher: McGraw Hill Professional
ISBN: 0071735372
Category : Business & Economics
Languages : en
Pages : 36

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Book Description
Here is a chapter from Six Sigma Statistics with Excel and MINITAB. This is a comprehensive and easy-to-use guide for understanding and using Excel and MINITAB programs for Six Sigma statistical data analysis. Each chapter includes relevant theory and technique, step-by-step exercises, case studies, graphical illustrations and screen shots for performing the techniques in both Excel and MINITAB.

Statistics for Six Sigma Green Belts

Statistics for Six Sigma Green Belts PDF Author: David M. Levine
Publisher: Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 406

Get Book Here

Book Description
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.

Six Sigma Statistics with EXCEL and MINITAB, Chapter 4 - Introduction to Basic Probability

Six Sigma Statistics with EXCEL and MINITAB, Chapter 4 - Introduction to Basic Probability PDF Author: Issa Bass
Publisher: McGraw Hill Professional
ISBN: 0071735380
Category : Business & Economics
Languages : en
Pages : 29

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Book Description
Here is a chapter from Six Sigma Statistics with Excel and MINITAB. This is a comprehensive and easy-to-use guide for understanding and using Excel and MINITAB programs for Six Sigma statistical data analysis. Each chapter includes relevant theory and technique, step-by-step exercises, case studies, graphical illustrations and screen shots for performing the techniques in both Excel and MINITAB.

Problem Solving and Data Analysis Using Minitab

Problem Solving and Data Analysis Using Minitab PDF Author: Rehman M. Khan
Publisher: John Wiley & Sons
ISBN: 1118307526
Category : Mathematics
Languages : en
Pages : 715

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Book Description
Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets. Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.

Design for Six Sigma Statistics, Chapter 9 - Detecting Changes in Nonnormal Data

Design for Six Sigma Statistics, Chapter 9 - Detecting Changes in Nonnormal Data PDF Author: Andrew Sleeper
Publisher: McGraw Hill Professional
ISBN: 0071735712
Category : Business & Economics
Languages : en
Pages : 61

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Book Description
Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.

Six Sigma Statistics with EXCEL and MINITAB

Six Sigma Statistics with EXCEL and MINITAB PDF Author: Issa Bass
Publisher: McGraw Hill Professional
ISBN: 007154268X
Category : Technology & Engineering
Languages : en
Pages : 387

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Book Description
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.

Practice of Business Statistics, Part IV

Practice of Business Statistics, Part IV PDF Author: David S. Moore
Publisher: Macmillan
ISBN: 9780716767053
Category : Business & Economics
Languages : en
Pages : 500

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Book Description


Essential Statistics for Economics, Business and Management

Essential Statistics for Economics, Business and Management PDF Author: Teresa Bradley
Publisher: John Wiley & Sons
ISBN: 0470850795
Category : Mathematics
Languages : en
Pages : 693

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Book Description
Essential Statistics for Economics, Business and Management assumes no prior knowledge of statistics. It will also be highly relevant for the statistics component of courses in quantitative methods. The style of the book is similar to that of the highly successful Essential Mathematics for Economics and Business by Teresa Bradley and Paul Patton, with many worked examples integrated throughout. Emphasis is placed on verbalising concepts, problems and results of statistical analysis. This will help students learn how to start a problem, complete the calculations, and report the results in a way that makes sense to a non-statistician. Each concept is introduced with a brief but plausible explanation followed by Worked Examples. The Worked Examples will provide students with the necessary practice that they need in order to succeed at the subject. Emphasis is also placed on ?learning through doing? problems. Excel is used to encourage students in doing problems and to enhance understanding (with links to datasets online). Minitab printouts are also included in the text. Skills Development Exercises with brief solutions are included within the chapters, and Progress Exercises on theory and applications are provided at the end of each chapter. Solutions to all the worked examples and progress exercises are available as an appendix. Web-based supplementary materials will be provided for lecturers adopting the text, including additonal exercises and solutions, excel datasets and exercises, powerpoint slides with key formula, figures and tables. Students can access an online glossary and weblinks.

Lean Six Sigma Using SigmaXL and Minitab

Lean Six Sigma Using SigmaXL and Minitab PDF Author: Issa Bass
Publisher: McGraw Hill Professional
ISBN: 0071626212
Category : Technology & Engineering
Languages : en
Pages : 382

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Book Description
Effectively Execute Lean Six Sigma Projects using SigmaXL and Minitab Written by a Six Sigma Master Black Belt and a Ph.D., this practical guide to Lean Six Sigma project execution follows the DMAIC (Define, Measure, Analyze, Improve, and Control) roadmap. The many real-world examples used in the book offer in-depth theoretical analyses and are implemented using the two most popular statistical software suites--SigmaXL and Minitab. This expert resource covers Lean topics ranging from basic data analysis to complex design of experiments and statistical process control. Harness the power of SigmaXL and Minitab and enable sustained positive operational results throughout your organization with help from this authoritative guide. Lean Six Sigma Using SigmaXL and Minitab explains how to: Define the project goals, project manager, value statement, stakeholders, and risk Schedule tasks using the Gantt chart, critical path analysis, and program evaluation and review technique Capture the voice of internal and external customers Assess the cost of quality Gather data and measure process performance Perform process capabilities analysis Apply Lean Six Sigma metrics to determine baseline performance Implement analysis techniques such as Pareto analysis, value stream mapping, failure mode and effect analysis (FMEA), and regression analysis Identify constraints via factorial experiments, and implement process improvements Monitor production performance using statistical process control