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Books | Industrial Engineering | January 2010 | The Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements
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Harry, Mikel / Mann, Prem S. / De Hodgins, Ofelia C. / Hulbert, Richard L. / Lacke, Christopher J.
The Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements

1. Edition - January 2010
125.- Euro
2010. 800 Pages, Hardcover
ISBN-10: 0-470-11494-0
ISBN-13: 978-0-470-11494-0 - John Wiley & Sons


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Sample Chapter

Short description
The only textbook of its kind, this authoritative account provides a balanced approach to quantitative and qualitative statistics using the Six Sigma and Lean Six Sigma methodologies. The emphasis is on applications and the implementation of data analyses as they relate to Six Sigma. The primary purpose of the book is to serve as a reference guide and textbook for both experienced practitioners and new students of Six Sigma. The book includes plentiful examples, exercises, and case studies based on real data and real-life analytical and business problems. It is written by a broad spectrum of academic and industry professionals.

From the contents
Chapter 1 Principles of Six Sigma.

References.

Glossary.

Chapter 2 Six Sigma Installation.

References.

Glossary.

Chapter 3 Lean Six Sigma Projects.

References.

Glossary.

Chapter 4 Lean Practices.

References .

Glossary.

Chapter 5 Value Stream Mapping.

References.

Glossary.

Chapter 6 Introductory Statistics and Data.

References.

Glossary.

Chapter 7 Quality Tools.

Reference.

Glossary.

Chapter 8 Making Sense of Data in Six Sigma and Lean.

Glossary.

Chapter 9 Fundamentals of Capability and Rolled Throughput Yield.

Glossary.

References.

Chapter 10 Probability.

Glossary.

Chapter 11 Discrete Random Variables and Their Probability Distributions.

Glossary.

Chapter 12 Continuous Random Variables and Their Distributions.

Glossary.

Chapter 13 Sampling Distributions.

Glossary.

Chapter 14 Single Population Estimation.

Glossary.

Chapter 15 Control Methods.

Glossary.

References.

Chapter 16 Single Population Hypothesis Tests.

Glossary.

Chapter 17 Estimation and Hypothesis Tests: Two Populations.

Independent Samples.

Glossary.

Chapter 18 Chi-Square Tests.

Glossary.

Chapter 19 Analysis of Variance.

Glossary.

Chapter 20 Linear and Multiple Regression.

Glossary.

Chapter 21 Measurement Analysis.

References.

Glossary.

Chapter 22 Fundamentals of Design of Experiments.

References.

Glossary.

Chapter 23 Design for Six Sigma [DFSS], Simulation, and Optimization.

References.

Glossary.

Chapter 24 Survey Methods and Sampling Techniques.

References.

Glossary.

Appendix A: Statistical Tables.

Table I: Table of Binomial Probabilities.

Table II: Standard Normal Distribution Table.

Table III: The t Distribution Table.

Table IV: Chi-Square Distribution Table.

Table V: The F Distribution Table.

Table VI: Critical Values for the Mann-Whitney Test.

Table VII: Critical Values for the Wilcoxon Signed-Rank Test.

Table VIII: Sigma Conversion Table.

Appendix B: Answers to Selected Odd-Numbered Exercises.

Index.


 
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