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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.
Book Synopsis Design for Six Sigma Statistics, Chapter 3 - Describing Random Behavior by : Andrew Sleeper
Download or read book Design for Six Sigma Statistics, Chapter 3 - Describing Random Behavior written by Andrew Sleeper and published by McGraw Hill Professional. This book was released on 2005-12-05 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
In today’s competitive environment, companies can no longer produce goods and services that are merely good with low defect levels, they have to be near-perfect. Design for Six Sigma Statistics is a rigorous mathematical roadmap to help companies reach this goal. As the sixth book in the Six Sigma operations series, this comprehensive book goes beyond an introduction to the statistical tools and methods found in most books but contains expert case studies, equations and step by step MINTAB instruction for performing: DFSS Design of Experiments, Measuring Process Capability, Statistical Tolerancing in DFSS and DFSS Techniques within the Supply Chain for Improved Results. The aim is to help you better diagnosis and root out potential problems before your product or service is even launched.
Book Synopsis Design for Six Sigma Statistics by : Andrew Sleeper
Download or read book Design for Six Sigma Statistics written by Andrew Sleeper and published by McGraw Hill Professional. This book was released on 2005-12-23 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s competitive environment, companies can no longer produce goods and services that are merely good with low defect levels, they have to be near-perfect. Design for Six Sigma Statistics is a rigorous mathematical roadmap to help companies reach this goal. As the sixth book in the Six Sigma operations series, this comprehensive book goes beyond an introduction to the statistical tools and methods found in most books but contains expert case studies, equations and step by step MINTAB instruction for performing: DFSS Design of Experiments, Measuring Process Capability, Statistical Tolerancing in DFSS and DFSS Techniques within the Supply Chain for Improved Results. The aim is to help you better diagnosis and root out potential problems before your product or service is even launched.
Experimental Design: Procedures for Behavioral Sciences, Fourth Edition is a classic text with a reputuation for accessibility and readability. It has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface type, there are summaries of the advantages and disadvantages of each design, and real-life examples show how the designs are used.
Book Synopsis Experimental Design: Procedures for the Behavioral Sciences by : Roger E. Kirk
Download or read book Experimental Design: Procedures for the Behavioral Sciences written by Roger E. Kirk and published by SAGE. This book was released on 2013 with total page 1073 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental Design: Procedures for Behavioral Sciences, Fourth Edition is a classic text with a reputuation for accessibility and readability. It has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface type, there are summaries of the advantages and disadvantages of each design, and real-life examples show how the designs are used.
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.
Book Synopsis Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements by : Mikel J. Harry
Download or read book Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements written by Mikel J. Harry and published by John Wiley & Sons. This book was released on 2010-01-19 with total page 827 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Includes new and expanded coverage of Six Sigma infrastructure building and benchmarking. Provides plans, checklists, metrics, and pitfalls.
Book Synopsis Implementing Six Sigma by : Forrest W. Breyfogle, III
Download or read book Implementing Six Sigma written by Forrest W. Breyfogle, III and published by John Wiley & Sons. This book was released on 2003-04-07 with total page 1232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes new and expanded coverage of Six Sigma infrastructure building and benchmarking. Provides plans, checklists, metrics, and pitfalls.
What statistics is all about; Measurement: the choice of an endpoint; Descriptive statistics: frequency curves, averages, and variability; Making inferences about population parameters: general principles; The normal curve; The distribution; Comparing the means of an experimental and a control group; The analysis of variance: single classification; The analysis of variance: nested designs randomized blocks, and factorial experiments; Determining the linear relationship between variables: the correlation coefficient; Chi-square tests of nominal data; Order statistics for ranked data.
Book Synopsis Statistics and Experimental Design for Behavioral and Biological Researchers by : Victor H. Denenberg
Download or read book Statistics and Experimental Design for Behavioral and Biological Researchers written by Victor H. Denenberg and published by Hemisphere Pub. This book was released on 1976 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: What statistics is all about; Measurement: the choice of an endpoint; Descriptive statistics: frequency curves, averages, and variability; Making inferences about population parameters: general principles; The normal curve; The distribution; Comparing the means of an experimental and a control group; The analysis of variance: single classification; The analysis of variance: nested designs randomized blocks, and factorial experiments; Determining the linear relationship between variables: the correlation coefficient; Chi-square tests of nominal data; Order statistics for ranked data.
Statistical Power Analysis for the Behavioral Sciences, Revised Edition emphasizes the importance of statistical power analysis. This edition discusses the concepts and types of power analysis, t test for means, significance of a product moment rs, and differences between correlation coefficients. The test that a proportion is .50 and sign test, differences between proportions, and chi-square tests for goodness of fit and contingency tables are also elaborated. This text likewise covers the F tests of variance proportions in multiple regression/correlation analysis and computational procedures. This publication is intended for behavioral and biosocial scientists who use statistical inference, but also serves as a supplementary textbook for intermediate level courses in applied statistics in behavioral/biosocial science.
Book Synopsis Statistical Power Analysis for the Behavioral Sciences by : Jacob Cohen
Download or read book Statistical Power Analysis for the Behavioral Sciences written by Jacob Cohen and published by Academic Press. This book was released on 2013-09-03 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Power Analysis for the Behavioral Sciences, Revised Edition emphasizes the importance of statistical power analysis. This edition discusses the concepts and types of power analysis, t test for means, significance of a product moment rs, and differences between correlation coefficients. The test that a proportion is .50 and sign test, differences between proportions, and chi-square tests for goodness of fit and contingency tables are also elaborated. This text likewise covers the F tests of variance proportions in multiple regression/correlation analysis and computational procedures. This publication is intended for behavioral and biosocial scientists who use statistical inference, but also serves as a supplementary textbook for intermediate level courses in applied statistics in behavioral/biosocial science.
To achieve a better understanding of the influence of National Culture, Corporate Culture and Leadership Style on Lean Six Sigma implementation and Corporate Success a quantitative empirical web-based survey with Lean Six Sigma professionals involved in the social professional network LinkedIn was carried out by Miriam Jacobs. The outcome of this survey suggests, that certain constellations of these five factors are more successful than others. Companies with an almost equal balance across different Leadership Styles and types of Corporate Culture achieve the best results, while companies equipped with a Rational and Hierarchical Corporate Culture in the absence of transformational, participative or supportive leadership are likely to fail.
Book Synopsis Cultural Impact on Lean Six Sigma and Corporate Success by : Miriam Jacobs
Download or read book Cultural Impact on Lean Six Sigma and Corporate Success written by Miriam Jacobs and published by Springer. This book was released on 2014-11-14 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: To achieve a better understanding of the influence of National Culture, Corporate Culture and Leadership Style on Lean Six Sigma implementation and Corporate Success a quantitative empirical web-based survey with Lean Six Sigma professionals involved in the social professional network LinkedIn was carried out by Miriam Jacobs. The outcome of this survey suggests, that certain constellations of these five factors are more successful than others. Companies with an almost equal balance across different Leadership Styles and types of Corporate Culture achieve the best results, while companies equipped with a Rational and Hierarchical Corporate Culture in the absence of transformational, participative or supportive leadership are likely to fail.
Book Synopsis Understanding Statistics in the Behavioral Sciences by : Robert R. Pagano
Download or read book Understanding Statistics in the Behavioral Sciences written by Robert R. Pagano and published by West Publishing Company. This book was released on 1990 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Introduction to Engineering Statistics and Lean Sigma by : Theodore T. Allen
Download or read book Introduction to Engineering Statistics and Lean Sigma written by Theodore T. Allen and published by Springer Science & Business Media. This book was released on 2010-04-23 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
