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Minitab Demystified


Minitab Demystified

Paperback by Sleeper, Andrew

Minitab Demystified

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£33.14

ISBN:
9780071762298
Publication Date:
16 Oct 2011
Language:
English
Publisher:
McGraw-Hill Education - Europe
Imprint:
McGraw-Hill Professional
Pages:
576 pages
Format:
Paperback
For delivery:
Estimated despatch 30 Apr 2024
Minitab Demystified

Description

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Need to learn Minitab? Problem Solved!Get started using Minitab right way with help from this hands-on guide. Minitab Demystified walks you through essential Minitab features and shows you how to apply them to solve statistical analysis problems. Featuring coverage of Minitab 16, this practical guide explores the Minitab interface and the full range of Minitab graphics, Distribution models, statistical intervals, hypothesis testing, and sample size calculations are clearly explained. The book covers modeling tools of regression and the design of experiments (DOE) as well as the industrial quality tools of measurement systems analysis, control charts, capability analysis, acceptance sampling, and reliability analysis. Detailed examples and concise explanations make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Accessing powerful Minitab functions with the Minitab assistant Confidence, prediction, and tolerance intervals Designing and analyzing experiments with hard-to-change variables Statistical process control (SPC), Six Sigma applications, and quality control Predicting the economic impact of sampling Analyzing life data with additional variables Simple enough for a beginner, challenging enough for an advanced student, and thorough enough for a Six Sigma professional, Minitab Demystified is your shortcut to statistical analysis success!

Contents

Chapter 1. Getting Started with Minitab Statistical Software Chapter 2. Analyzing and Comparing Variables with Graphs Chapter 3. Exploring the Minitab Environment Chapter 4. Selecting and Using Distribution Models in Minitab Chapter 5. Making Decisions with Intervals Chapter 6. Testing Hypotheses Chapter 7. Calculating Sample Size Chapter 8. Fitting Regression Models Chapter 9. Designing and Analyzing Experiments Chapter 10. Assessing Measurement Systems Chapter 11. Control Charting Chapter 12. Measuring Process Capability Chapter 13. Acceptance Sampling Chapter 14. Reliability Analysis Final Exam Answers to Quizzes and Final Exam Further Reading Index

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