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Statistics for Six SIGMA Green Belts with Minitab and Jmp, Levine David M.


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Автор: Levine David M.   (Дэвид М. Левайн)
Название:  Statistics for Six SIGMA Green Belts with Minitab and Jmp
Перевод названия: Дэвид М. Левайн: Статистика для шести зеленых поясов SIGMA с Minitab и Jmp
ISBN: 9780137017126
Издательство: Pearson Education
Классификация:


ISBN-10: 013701712X
Обложка/Формат: Paperback
Страницы: 400
Вес: 0.65 кг.
Дата издания: 31.12.2008
Язык: English
Иллюстрации: Illustrations
Размер: 233 x 176 x 13
Читательская аудитория: Professional & vocational
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Поставляется из: Англии
Описание: 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.

Acknowledgments xvii

About the Author xix

Preface xxi

Chapter 1: Fundamentals of Six Sigma 1

Chapter 2: Introduction to Statistics 7

Chapter 3: Presenting Data in Charts and Tables 23

Chapter 4: Descriptive Statistics 39

Chapter 5: Probability and Probability Distributions 59

Chapter 6: Sampling Distributions and Confidence Intervals 95

Chapter 7: Hypothesis Testing 113

Chapter 8: Design of Experiments 157

Chapter 9: Simple Linear Regression 211

Chapter 10: Multiple Regression 241

Chapter 11: Control Charts for Six Sigma Management 279

Appendix A: Review of Arithmetic and Algebra 321

Appendix B: Summation Notation 329

Appendix C: Statistical Tables 333

Appendix D: Documentation of Data Files 347

Glossary 349

Index 359



Minitab Demystified

Автор: Sleeper Andrew
Название: Minitab Demystified
ISBN: 0071762299 ISBN-13(EAN): 9780071762298
Издательство: McGraw-Hill
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Цена: 44610.00 T
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Описание: This is an easy-to-use, self-study guide to Minitab-the most widely used statistical analysis software among business and engineering students, as well as quality professionals.

Statistics with JMP: Hypothesis Tests, ANOVA and Regression

Автор: Peter Goos, David Meintrup
Название: Statistics with JMP: Hypothesis Tests, ANOVA and Regression
ISBN: 1119097150 ISBN-13(EAN): 9781119097150
Издательство: Wiley
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Цена: 64360.00 T
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Описание:

Statistics with JMP: Hypothesis Tests, ANOVA and Regression

Peter Goos, University of Leuven and University of Antwerp, Belgium

David Meintrup, University of Applied Sciences Ingolstadt, Germany

A first course on basic statistical methodology using JMP

This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software.

Key features:

  • Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested.
  • Pays attention to the usual parametric hypothesis tests as well as to non-parametric tests (including the calculation of exact p-values).
  • Discusses the power of various statistical tests, along with examples in JMP to enable in-sight into this difficult topic.
  • Promotes the use of graphs and confidence intervals in addition to p-values.
  • Course materials and tutorials for teaching are available on the book's companion website.

Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio-science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering.


Design and Analyse Your Experiment Using Minitab

Автор: Greenfield
Название: Design and Analyse Your Experiment Using Minitab
ISBN: 0470711140 ISBN-13(EAN): 9780470711149
Издательство: Wiley
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Цена: 51690.00 T
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Описание: Progress in engineering and the physical sciences, agriculture and the biological sciences, and to some extent social science, depends on experiments. The design of such experiments is crucial. If they are poorly designed they will be inefficient and may lead to misleading conclusions.

Essentials of Excel, Excel VBA, SAS and MINITAB for Statistical and Financial Analyses

Автор: Cheng-Few Lee; John C. Lee; Jow-Ran Chang; Tzu Tai
Название: Essentials of Excel, Excel VBA, SAS and MINITAB for Statistical and Financial Analyses
ISBN: 3319388657 ISBN-13(EAN): 9783319388656
Издательство: Springer
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Цена: 83850.00 T
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Описание: This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures.One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and Minitab. Of those, we look at Minitab and SAS in this textbook. One of the main reasons to use Minitab is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using Minitab and SAS—also helpful in some analytical methods not possible or practical to do in Excel.

Statistics with JMP: Graphs, Descriptive Statistics and Probability

Автор: Peter Goos,David Meintrup
Название: Statistics with JMP: Graphs, Descriptive Statistics and Probability
ISBN: 1119035708 ISBN-13(EAN): 9781119035701
Издательство: Wiley
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Цена: 63310.00 T
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Описание: Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio–Science Engineering and University of Antwerp, Faculty of Applied Economics, BelgiumDavid Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, GermanyThorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMPJMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user–friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step–by–step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications.Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities.Key features: Introduces each concept with practical examples and demonstrations in JMP. Provides the statistical theory including detailed mathematical derivations. Presents illustrative examples in each chapter accompanied by step–by–step instructions and screenshots to help develop the reader s understanding of both the statistical theory and its applications. A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications.

Mastering Lean Six Sigma Black Belt

Автор: Taghizadegan Salman
Название: Mastering Lean Six Sigma Black Belt
ISBN: 1606504045 ISBN-13(EAN): 9781606504048
Издательство: McGraw-Hill
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Цена: 114400.00 T
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Описание: A Master Black Belt (MCasebound) in Six Sigma statistical quality control is awarded to those individuals who possess the highest level of expertise and knowledge of industry practice. This book develops a dynamic program to meet the requirements of a MCasebound and provides the necessary skills for a company in a Quality Improvement initiative.

Data Management Essentials Using SAS and JMP

Автор: Kezik
Название: Data Management Essentials Using SAS and JMP
ISBN: 1107535034 ISBN-13(EAN): 9781107535039
Издательство: Cambridge Academ
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Цена: 40130.00 T
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Описание: This book is designed for the first time or occasional SAS user who needs immediate guidance in navigating, exploring, visualizing, cleaning and reporting on data. It teaches the basic SAS skills essential to data management, including practical exercises with solutions. No formal or informal training is required.


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