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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
Contents
Chapter 1. IntroductionChapter 2. Introduction to Minitab and ExcelChapter 3. Basic tool for data collection, organization and descriptionChapter 4. Introduction to Basic ProbabilityChapter 5. How to Determine, Analyze, and Interpret Your SamplesChapter 6. Hypothesis TestingChapter 7. Statistical Process Control Chapter 8. Process Capability AnalysisChapter 9. Analysis of VarianceChapter 10. Regression AnalysisChapter 11. Design of Experiment Chapter 12. The Taguchi MethodChapter 13. Measurement Systems Analysis--MSA: Is Your Measurement Process Lying to You?Chapter 14. Nonparametric Statistics Chapter 15. Pinpointing the Vital Few Root CausesIndex
