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Books : Six Sigma Statistics with EXCEL and MINITAB

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by: Issa Bass

 : Six Sigma Statistics with EXCEL and MINITAB

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Binding: Hardcover
Dewey Decimal Number: 658.4013028554
EAN: 9780071489690
ISBN: 007148969X
Label: McGraw-Hill Professional
Manufacturer: McGraw-Hill Professional
Number Of Items: 1
Number Of Pages: 374
Publication Date: June 27, 2007
Publisher: McGraw-Hill Professional
Studio: McGraw-Hill Professional
Sales Rank: 170003




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Master the Statistical Techniques for Six Sigma Operations, . While Boosting Your Excel and Minitab Skills!

. .

Now with the help of this �one-stop� resource, operations and production managers can learn all the powerful statistical techniques for Six Sigma operations, while becoming proficient at Excel and Minitab at the same time.. .

Six Sigma Statistics with Excel and Minitab offers a complete guide to Six Sigma statistical methods, plus expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization.. .

Written by a seasoned Six Sigma Master Black Belt, the book explains how to create and interpret dot plots, histograms, and box plots using Minitab�decide on sampling strategies, sample size, and confidence intervals�apply hypothesis tests to compare variance, means, and proportions�conduct a regression and residual analysis�design and analyze an experiment�and much more. . .

Filled with clear, concise accounts of the theory for each statistical method presented, Six Sigma Statistics with Excel and Minitab features:
    . .
  • Easy-to-follow explanations of powerful Six Sigma tools.
  • A wealth of exercises and case studies.
  • 200 graphical illustrations for Excel and Minitab
. .

Essential for achieving Six Sigma goals in any organization, Six Sigma Statistics with Excel and Minitab is a unique, skills-building toolkit for mastering a wide range of vital statistical techniques, and for capitalizing on the potential of Excel and Minitab. . . .

Six Sigma Statistical with Excel and Minitab offers operations and production managers a complete guide to Six Sigma statistical techniques, together with expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization.. .

Written by Issa Bass, a Six Sigma Master Black Belt with years of hands-on experience in industry, this on-target resource takes readers through the application of each Six Sigma statistical tool, while presenting a straightforward tutorial for effectively utilizing Excel and Minitab. With the help of this essential reference, managers can:
    . .
  • Acquire the basic tools for data collection, organization, and description.
  • Learn the fundamental principles of probability.
  • Create and interpret dot plots, histograms, and box plots using Minitab.
  • Decide on sampling strategies, sample size, and confidence intervals.
  • Apply hypothesis tests to compare variance, means, and proportions.
  • Stay on top of production processes with statistical process control.
  • Use process capability analysis to ensure that processes meet customers'. expectations .
  • Employ analysis of variance to make inferences about more than two. population means .
  • Conduct a regression and residual analysis.
  • Design and analyze an experiment
. .

In addition, Six Sigma Statistics with Excel and Minitab enables you to develop a better understanding of the Taguchi Method�use measurement system analysis to find out if measurement processes are accurate�discover how to test ordinal or nominal data with nonparametric statistics�and apply the full range of basic quality tools.. .

Filled with step-by-step exercises, graphical illustrations, and screen shots for performing Six Sigma techniques on Excel and Minitab, the book also provides clear, concise explanations of the theory for each of the statistical tools presented. . .

Authoritative and comprehensive, Six Sigma Statistics with Excel and Minitab is a valuable skills-building resource for mastering all the statistical techniques for Six Sigma operations, while harnessing the power of Excel and Minitab. . .



Customer Reviews
Average Rating:  out of 5 stars

Rating: 4 out of 5 stars - Siz Sigma Statistics with Excel and Minitab
This is a great book filled with the statistical technques, examples and associated solutions. It provides nice balance between the statistical theory and solutions using Excel and Minitab. The Minitab examples are easy to follow and implement in the Minitab tool (I did not use Excel.). The CD provided with the book is quite useful enabling one to use existing files rather than spending time typing data into the tool. In some instances it is not clear how to implement examples in Minitab; it would ... Read More



Rating: 3 out of 5 stars - Good for Minitab application but too many errors
The author successfully achieved his purpose of explaining Six Sigma statistics using Minitab and Excel; however, I found numerous errors in his explanations of statistical methods and in his conclusions in some examples. I noticed 184 major and minor errors in this book, of which simple typo errors counted only 11. Mr. Bass failed to use Minitab's "Design of Experiment" feature in the chapter titled "Design of Experiment" and explained ANOVA instead, which could have been included in the chapter "Analysis ... Read More



Rating: 4 out of 5 stars - Good stuff
Very good deployment of topics. To expand those topics more in deep (e.g.: Taguchi) could be even better. Excel & Minitab examples very useful but not developed within same Excel (or Minitab) solution spreadsheets.



Rating: 4 out of 5 stars - Great useful book
As a BB I find this book really useful. Each chapter has a clear structure, that helps the reader to fully understand the topics.
Lot of examples and exercises make the reader capable to fully understand the theory and to apply it to real problems.
I suggest all the BBs to have this book.



Rating: 5 out of 5 stars - Six Sigma Statistics with Excel and Minitab by Issa Bass
Excellent book on using Minitab and Excel to assist in Six Sigma analysis with supporting statistical methods

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