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Rath & Strong's Six Sigma Advanced Tools Pocket Guide: How to Use Design Experiments, Analysis of Variance, Regression Analysis and 25 Other Powerful Tools
 
 
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Rath & Strong's Six Sigma Advanced Tools Pocket Guide: How to Use Design Experiments, Analysis of Variance, Regression Analysis and 25 Other Powerful Tools [Spiral-bound]

Augustine A. Stagliano (Author)
4.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

0071434119 978-0071434119 June 29, 2004 1st
A simple, take-along guide to achieving lasting business results Rath & Strong's Six Sigma Advanced Tools Pocket Guide is designed to help Six Sigma black belts, green belts, and team leaders from every field to implement the most powerful tools in Six Sigma without getting bogged down in statistical theory.

This pocket-sized field guide provides practical advice on the use of advanced tools, such as: sampling, analysis of variance, multiple regression, and design of experiments. Each tool is explained in easy-to-understand language, permitting the reader to solve real-world problems in any area of business.
  • Covers step-by-step implementation of the most important Six Sigma tools.
  • Features a heavy emphasis on applying the best tools to solve practical business problems.
  • Explains how to use Microsoft Excel and Minitab statistical software to simplify the process.
A concise, easy to use guide to the application of the statistical tools of Six Sigma and Lean Six Sigma.  Includes a handy tool selection guide to help you pick the tools that best fit your needs.

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Editorial Reviews

From the Author

As a Six Sigma practitioner with over 15 years in the game, I recall how my colleagues and I yearned for a handy reference that could help us to effectively apply the statistical tools that we were introduced to in our Six Sigma training.  Many Six Sigma books are now available.  Some are essentially statistics textbooks with a Six Sigma slant and others just don't have enough horsepower to satisfy the needs of many practicing Green Belts and Black Belts.  This book fills that void and provides Six Sigma professionals with a practical guide on the use of advanced tools, such as analysis of variance, multiple regression, and design of experiments.  This book is not intended to be a textbook.  It is geared toward those individuals who have been or will be trained at the Green Belt or Black Belt level, providing the user with a practical reference for the application of Six Sigma tools.  I hope that you enjoy using this book as much as I enjoyed writing it for you.    

Augustine Stagliano
Ithaca, NY

From the Inside Flap

Tool selection guide - reference table to guide in the selection of the best tool for the situation.

Product Details

  • Spiral-bound: 200 pages
  • Publisher: McGraw-Hill Companies; 1st edition (June 29, 2004)
  • Language: English
  • ISBN-10: 0071434119
  • ISBN-13: 978-0071434119
  • Product Dimensions: 5.4 x 4 x 0.6 inches
  • Shipping Weight: 4 ounces (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #114,682 in Books (See Top 100 in Books)

More About the Author

Augustine Stagliano is a Senior Managing Operations Strategy Consultant with IBM Global Business Services. A GE certified Master Black Belt with over 20 years of experience, he has worked to improve quality and business processes in both manufacturing and service environments. Before joining IBM, Augustine held positions with the U.S. Army, GE Corporate Audit Staff, GE Plastics, GE Lighting, Pall Corporation and Aon Management Consulting. He holds a B.S. in Geology from the State University of New York at Buffalo and an M.S. in Operations Research and Applied Statistics from Union College.

 

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Most Helpful Customer Reviews

11 of 11 people found the following review helpful:
4.0 out of 5 stars Pocket Guide / Advanced Tools?, July 16, 2004
By A Customer
This review is from: Rath & Strong's Six Sigma Advanced Tools Pocket Guide: How to Use Design Experiments, Analysis of Variance, Regression Analysis and 25 Other Powerful Tools (Spiral-bound)
While the terms "advanced tools" and "pocket guide" may seem incongruous in the same sentence, Rath & Strong has managed to package the essence of higher statistical tool use in a concise and accurate guide which does - as advertised - fit into a shirt pocket.

We have found a use for this book as well as the "Six Sigma Pocket Guide" amongst our Black Belts. Many times, it is reached for over the more thorough (and not so small) "Implementing Six Sigma" by Forrest W. Breyfogle.

Anyone who did not really cement the higher statistical concepts in the 2 - 4 weeks that most Six Sigma training allows should benefit from this book.

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5 of 5 people found the following review helpful:
4.0 out of 5 stars Distinct explanation, October 17, 2005
This review is from: Rath & Strong's Six Sigma Advanced Tools Pocket Guide: How to Use Design Experiments, Analysis of Variance, Regression Analysis and 25 Other Powerful Tools (Spiral-bound)
Excellent tool matrix from what you have and want to do, to which tool to use.
Distinct explanation of the tools with examples.
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Inside This Book (learn more)
First Sentence:
The purpose of this chapter and the charts on the inside covers is to provide guidance on the selection of the most appropriate tools for your Six Sigma project. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
finish defects, main effects plot, more input variables, alpha risk, abandonment rate, rational subgroups, beta risk, estimating sample size, sample subgroups, sample precision, full factorial design, interaction plot, customer associates, lower control limit, normal probability plot, upper control limit, consecutive observations, nonconforming product
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Six Sigma, Analysis of Variance, Using Excel, Basic Statistics, Two Sample, Attribute Charts, Factorial Fit, Customer Associates Figure, Packing Time, Pocket Guide, Sample Figure, Term Effect Coef, Total Time
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