Six Sigma Statistics With Excel And Minitab Second Edition
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Six Sigma Statistics With Excel And Minitab Second Edition
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Author : Issa Bass
language : en
Publisher: McGraw-Hill Education
Release Date : 2016-07-06
Six Sigma Statistics With Excel And Minitab Second Edition written by Issa Bass and has been published by McGraw-Hill Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-06 with Technology & Engineering categories.
Unleash the full improvement potential of Six Sigma statistical techniques by using Excel and/or Minitab to design experiments, sample strategies, compare variances, and conduct analyses. Six Sigma Statistics with Excel and Minitab, Second Edition shows how to create reports, run analyses, and interpret results using these two widely used statistical software tools. This practical guide provides the perfect toolbox of theory, illustrations, explanations, exercises, and case studies both in the book and on an affiliated website to show how to use Excel and Minitab in conjunction with Six Sigma for an ideal improvement package. It reviews the quality tools that require Excel and/or Minitab, including measurement system analysis, SPC, the Taguchi method, and process capability analysis. Affiliated website contains all 75 Excel/Minitab examples from book, plus at least 25 extras that aren’t included in the print version Written by a Six Sigma Master Black Belt known for his expertise with statistics Includes detailed graphics and real-world examples that can be applied to any industry
Six Sigma Statistics With Excel And Minitab
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Author : Issa Bass
language : en
Publisher: McGraw Hill Professional
Release Date : 2007-07-18
Six Sigma Statistics With Excel And Minitab written by Issa Bass and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-18 with Technology & Engineering categories.
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.
Six Sigma Quality Improvement With Minitab
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Author : G. Robin Henderson
language : en
Publisher: John Wiley & Sons
Release Date : 2011-06-28
Six Sigma Quality Improvement With Minitab written by G. Robin Henderson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-28 with Mathematics categories.
This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services. The second edition includes the following new material: Pareto charts and Cause-and-Effect diagrams Time-weighted control charts cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) Multivariate control charts Acceptance sampling by attributes and variables (not provided in Release 14) Tests of association using the chi-square distribution Logistic regression Taguchi experimental designs
Lean Six Sigma Using Sigmaxl And Minitab
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Author : Issa Bass
language : en
Publisher: McGraw Hill Professional
Release Date : 2009-01-05
Lean Six Sigma Using Sigmaxl And Minitab written by Issa Bass and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-05 with Technology & Engineering categories.
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
Statistics For Six Sigma Green Belts
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Author : Levine
language : en
Publisher: Pearson Education India
Release Date : 2007-09
Statistics For Six Sigma Green Belts written by Levine and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09 with categories.
The Only Book On The Market That Provides A Simple Nonmathematical Presentation Of The Statistics Needed By Six Sigma Green Belts. Every Concept Is Explained In Plain English With A Minimum Of Mathematical Symbols. Includes Real-World Examples, Step By Step Instructions And Sample Output For Minitab And Jmp Software As Well As Downloadble, Ready To Use Data Sets And Templates. Includes Applications To Service Industries To Help Managers Understand The Role Of Six Sigma In Nonmanufacturing Industries.
Six Sigma Statistics Using Minitab 18
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Author : Rehman Khan
language : en
Publisher:
Release Date : 2019-08-10
Six Sigma Statistics Using Minitab 18 written by Rehman Khan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-10 with categories.
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.
Introduction To Engineering Statistics And Lean Sigma
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Author : Theodore T. Allen
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-04-23
Introduction To Engineering Statistics And Lean Sigma written by Theodore T. Allen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-23 with Technology & Engineering categories.
Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.
Practitioner S Guide To Statistics And Lean Six Sigma For Process Improvements
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Author : Mikel J. Harry
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Practitioner S Guide To Statistics And Lean Six Sigma For Process Improvements written by Mikel J. Harry and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Technology & Engineering categories.
This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies. Emphasizing applications and the implementation of data analyses as they relate to this strategy for business management, this book introduces readers to the concepts and techniques for solving problems and improving managerial processes using Six Sigma and Lean Six Sigma. Written by knowledgeable professionals working in the field today, the book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma practices, including: Discrete random variables and continuous random variables Sampling distributions Estimation and hypothesis tests Chi-square tests Analysis of variance Linear and multiple regression Measurement analysis Survey methods and sampling techniques The authors provide numerous opportunities for readers to test their understanding of the presented material, as the real data sets, which are incorporated into the treatment of each topic, can be easily worked with using Microsoft Office Excel, Minitab, MindPro, or Oracle's Crystal Ball software packages. Examples of successful, complete Six Sigma and Lean Six Sigma projects are supplied in many chapters along with extensive exercises that range in level of complexity. The book is accompanied by an extensive FTP site that features manuals for working with the discussed software packages along with additional exercises and data sets. In addition, numerous screenshots and figures guide readers through the functional and visual methods of learning Six Sigma and Lean Six Sigma. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements is an excellent book for courses on Six Sigma and statistical quality control at the upper-undergraduate and graduate levels. It is also a valuable reference for professionals in the fields of engineering, business, physics, management, and finance.
Statistics And Probability With Applications For Engineers And Scientists
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Author : Bhisham C. Gupta
language : en
Publisher: John Wiley & Sons
Release Date : 2013-04-17
Statistics And Probability With Applications For Engineers And Scientists written by Bhisham C. Gupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Mathematics categories.
Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.
Statistical Roundtables
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Author : Christine M. Anderson-Cook
language : en
Publisher: Quality Press
Release Date : 2016-04-22
Statistical Roundtables written by Christine M. Anderson-Cook and has been published by Quality Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-22 with Business & Economics categories.
Quality Progress, the flagship journal of ASQ, has been publishing the column Statistics Roundtable since 1999. With over 130 contributions from leading authors in applied statistics, the column has been highly successful and widely read. This book collects 90 of the most interesting and useful articles on some key topics. The editors have constructed this book to be a resource for statisticians and practitioners alike with short, accessible, practical advice in important core areas of statistics from world-renowned experts. This book is intended to be an informative read, with bite-sized columns, as well as a starting point for deeper exploration of key statistical areas. The book contains nine chapters with collections of articles on the following topics: Statistical engineering Data quality and measurement Data collection Key statistical tools Quality control Reliability Multiple response and meta-analysis Applications Communication and training Chapter introductions provide a quick overview of the material contained in the columns of that chapter, as well as complementary articles for that topic that appear elsewhere in the book. Also included at the end of the each chapter introduction is a short list of key references that can provide additional details or examples for material in the topic area.