Book description

Learn how to select and apply a statistical model without having to learn statistical theory.

This is a comprehensive and easy-to-use guide for understanding and using Excel and Minitab programs for Six Sigma statistical data analysis. Each chapter includes relevant theory and technique, step-by-step exercises, case studies, graphical illustrations and screen shots for performing the techniques in both Excel and MINITAB.

• Hardcover: 353 pages
• Publisher: McGraw-Hill Professional; 1 edition (June 22, 2007)
• ISBN-10: 007148969X
• ISBN-13: 978-0071489690

Table of Contents:
Chapter 1. Introduction
Chapter 2. Introduction to Minitab and Excel
Chapter 3. Basic tool for data collection, organization and description
Chapter 4. What do your data tell you? Chances are... - Introduction to Probability
Chapter 5. How to determine, analyze and interpret your samples?
Chapter 6. Comparing two samples means and variances to make an inference about the populations – Hypothesis Testing
Chapter 7. Know what your process is producing and keeping it under control - Statistical Process Control
Chapter 8. Is your process meeting your customers' expectations? - Process Capability Analysis
Chapter 9. Making an inference about more than two population means - Analysis Of Variance
Chapter 10. Building a Model to predict Variations – Regression Analysis
Chapter 11. What combination of factor is optimal for producing high quality at a lower cost?
Chapter 12. Taguchi Method or Murphy’s Law. “Anything that can go wrong will go wrong!”
Chapter 13. Is your measurement process lying to you? -Measurement System Analysis
Chapter 14. How to test ordinal or nominal data? - Nonparametric Statistics
Chapter 15. Basic Quality Tools

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