Book

Brussee, Warren.

Statistics for Six sigma made easy! / Warren Brussee.

2nd ed. ; rev. and updated.

New York : McGraw-Hill ; London : McGraw-Hill [distributor], ©2012.

xiii, 288 pages : illustrations ; 24 cm

Presents an introduction to the basic principles of the statistical strategy, detailing its tools and techniques, with case studies and advice for obtaining good samples and data and a matrix for choosing the best methods for a particular industry.

Six sigma (Quality control standard)

Quality control -- Statistical methods.

Process control.

Previous edition: 2004.

Includes bibliographical references and index.

Acknowledgements -- Introduction -- Part I: Overview of the Six Sigma process and the DMAIC road map: Six Sigma methodology and management's role in implementation -- DMAIC: the basic Six Sigma road map -- Part II: Qualitative Six Sigma tools: Simplified QFD -- Simplified FMEA -- Cause-and-effect fishbone diagram -- Simplified process flow diagram -- Correlation tests -- Part III: Foundations for using statistical Six Sigma tools: Getting good samples and data -- Simplified gauge verification -- Probability -- Data plots and distributions -- Part IV: Six Sigma tools to test for statistically significant change: Testing for statistically significant change using variables data -- Testing for statistically significant change using proportional data -- Testing for statistically significant change using nonnormal distributions -- Part V: Additional Six Sigma tools: Simplified design of experiments -- Simplified control charts -- Part VI: Statistical tools for design for Six Sigma: What tolerance is really required -- Simplified linear transfer functions -- Part VII: Quality department data and manufacturing innovation: Comparing Six Sigma data with quality department data -- The nex step for Six Sigma: manufacturing innovation -- Appendixes -- Indexes.

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