Testing for Statistically Significant Change Using Non-Normal Distributions

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Last edited by MARC Bot
July 22, 2019 | History

Testing for Statistically Significant Change Using Non-Normal Distributions

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This chapter is from Statistics for Six Sigma Made Easy, a simple guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.

Publish Date
Publisher
McGraw-Hill
Language
English

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Cover of: Testing for Statistically Significant Change Using Non-Normal Distributions

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Edition Notes

Published in
New York

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Format
eBook

ID Numbers

Open Library
OL24320124M
ISBN 13
9780071734806
OCLC/WorldCat
615604312
OverDrive
E1E6EF2E-9302-416E-A5E8-CE82887C3694

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Download catalog record: RDF / JSON
July 22, 2019 Edited by MARC Bot remove fake subjects
July 1, 2010 Created by ImportBot new OverDrive book