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## Book Description

Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented.

Industrial Statistics with MINITAB:

• Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry.

• Explores statistical techniques and how they can be used effectively with the help of MINITAB 16.

• Contains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge.

• Emphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments.

• Is supported by an accompanying website featuring case studies and the corresponding datasets.

Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects. The book can also be used as quick reference enabling the reader to be confident enough to explore other MINITAB capabilities.

1. Cover
2. Title Page
4. Preface
5. Part One: Introduction And Graphical Techniques
1. Chapter 1: A First Look
2. Chapter 2: Graphics for Univariate Data
3. Chapter 3: Pareto Charts and Cause–Effect Diagrams
4. Chapter 4: Scatterplots
5. Chapter 5: Three Dimensional Plots
6. Chapter 6: Part One: Case Studies
6. Part Two: Hypothesis Testing. Comparison Of Treatments
1. Chapter 7: Random Numbers and Numbers Following a Pattern
2. Chapter 8: Computing Probabilities
3. Chapter 9: Hypothesis Testing for Means and Proportions. Normality Test
4. Chapter 10: Comparison of Two Means, Two Variances or Two Proportions
5. Chapter 11: Comparison of More than Two Means: Analysis of Variance
6. Chapter 12: Part Two: Case Studies
7. Part Three: Measurement Systems Studies And Capability Studies
1. Chapter 13: Measurement System Study
2. Chapter 14: Capability Studies
3. Chapter 15: Capability Studies for Attributes
4. Chapter 16: Part Three: Case Studies
8. Part Four: Multi-Vari Charts And Statistical Process Control
1. Chapter 17: Multi-Vari Charts
2. Chapter 18: Control Charts I: Individual Observations
3. Chapter 19: Control Charts II: Means and Ranges
4. Chapter 20: Control Charts for Attributes
5. Chapter 21: Part Four: Case Studies
9. Part Five: Regression And Multivariate Analysis
1. Chapter 22: Correlation and Simple Regression
2. Chapter 23: Multiple Regression
3. Chapter 24: Multivariate Analysis
4. Chapter 25: Part Five: Case Studies
10. Part Six: Experimental Design And Reliability
1. Chapter 26: Factorial Designs: Creation
2. Chapter 27: Factorial Designs: Analysis
3. Chapter 28: Response Surface Methodology
4. Chapter 29: Reliability
5. Chapter 30: Part Six: Case Studies
11. Appendices
1. A1 Appendix 1: Answers to Questions that Arise at the Beginning
2. A2 Appendix 2: Managing Data
3. A3 Appendix 3: Customization of Minitab
12. Index