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.
Six Sigma Statistics with Excel and Minitab, Second Edition
With the help of this essential reference, managers can:. Responding To A Promotion?
View Promotion. More Views. Choose an Option Add to Cart. Format Print Printed books Traditional printed books available in…. Print - Hardback eBook - Electronic book text. 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 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.
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.
Contents Chapter 1. Introduction Chapter 2. Introduction to Minitab and Excel Chapter 3. Basic tool for data collection, organization and description Chapter 4. Introduction to Basic Probability Chapter 5. Hypothesis Testing Chapter 7.
Six Sigma Statistics with EXCEL and MINITAB - Issa Bass - Google Libros
Statistical Process Control Chapter 8. Process Capability Analysis Chapter 9. Analysis of Variance Chapter McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales promo-tions, or for use in corporate training programs. McGraw-Hill and its licensorsreserve all rights in and to the work.
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Chapter 5. Testing for a Population Mean Chapter 7. Statistical Process Control Chapter 9. Analysis of Variance Chapter Regression Analysis Pinpointing the Vital Few Root Causes The role of statistics in qualitymanagement in general andSix Sigma inparticular has never been so great.
Wrong document context!
Quality control cannot be dissociatedfrom statistics and Six Sigma nds its denition in that science. In June , we decided to create sixsigmarst. Thesite was primarily focusing on tutorials about Six Sigma. Since statis-tical analysis is the fulcrum of that methodology, a great deal of the sitewas slated to enhance the understanding of the science of Statistics. The site has put us in contact with a variety of audiences that rangefrom students who need help with their homework to quality controlmanagers who seek to better understand how to apply some statisticstools to their daily operations.
Some of the questions that we receive are theoretical while others arejust about how to use some statistics software to conduct an analysisor how to interpret the results of a statistical testing. The many questions that we have been getting have brought aboutthe idea of writing a comprehensive book that covers both statisticaltheory and helps to better understand how to utilize the most widelyused software in statistics. Minitab andExcel are currently themost preponderant software toolsfor statistical analysis; they are easy to use and provide reliable results. Excel is very accessible because it is found on almost any Windows-based operating system and Minitab is widely used in corporations anduniversities.
But we believe that without a thorough understanding of the theorybehind the analyses that these tools provide, any interpretation madeof results obtained from their use would be misleading.
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That is why we have elected to not only use hundred of examplesin this book, with each example, each study case being analyzed froma theoretical standpoint, using algebraic demonstrations, but we alsographically show step by step how to use Minitab and Excel to come tothe same conclusions we obtained from our mathematical reasoning.
This comprehensive approach does help better understand how theresults are obtained and best of all, it does help make a better interpre-tation of the results. We hope that this book will be a good tool for a better understandingof statistics theory through the use of Minitab and Excel.
I would like to thank all those without whom, I would not have writtenthis book.