Cover image for Problem solving and data analysis using Minitab : a clear and easy guide to Six Sigma methodology
Title:
Problem solving and data analysis using Minitab : a clear and easy guide to Six Sigma methodology
Personal Author:
Publication Information:
New York : Wiley, 2013
Physical Description:
vii, 473 pages : illustrations ; 29 cm
ISBN:
9781118307571
General Note:
Includes index.
Abstract:
"Problem Solving and Data Analysis using Minitab presents example based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving"-- Provided by publisher.
Title Subject:

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35000000003832 QA276.45.M56 K43 2013 f Open Access Book Book
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30000010307159 QA276.45.M56 K43 2013 f Open Access Book Book
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Summary

Summary

Six Sigma statistical methodology using Minitab

Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points.

Key features:

Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets.

Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum.


Author Notes

Rehman M. Khan, Chartered Chemical Engineer and Six Sigma Black Belt, Loughbourough, UK.