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.
Table of contents
- Cover
- Title Page
- Copyright
- Preface
- Part One: Introduction And Graphical Techniques
-
Part Two: Hypothesis Testing. Comparison Of Treatments
- Chapter 7: Random Numbers and Numbers Following a Pattern
-
Chapter 8: Computing Probabilities
- 8.1 Probability Distributions
- 8.2 Option ‘Probability Density’ or ‘Probability’
- 8.3 Option ‘Cumulative Probability’
- 8.4 Option ‘Inverse Cumulative Probability’
- 8.5 Viewing the Shape of the Distributions
- 8.6 Equivalence between Sigmas of the Process and Defects per Million Parts Using ‘Cumulative Probability’
- Chapter 9: Hypothesis Testing for Means and Proportions. Normality Test
- Chapter 10: Comparison of Two Means, Two Variances or Two Proportions
- Chapter 11: Comparison of More than Two Means: Analysis of Variance
- Chapter 12: Part Two: Case Studies
-
Part Three: Measurement Systems Studies And Capability Studies
- Chapter 13: Measurement System Study
-
Chapter 14: Capability Studies
- 14.1 Capability Analysis: Available Options
- 14.2 File ‘VITA_C’
- 14.3 Capability Analysis (Normal Distribution)
- 14.4 Interpreting the Obtained Information
- 14.5 Customizing the Study
- 14.6 ‘Within’ Variability and ‘Overall’ Variability
- 14.7 Capability Study when the Sample Size Is Equal to One
- 14.8 A More Detailed Data Analysis (Capability Sixpack)
- Chapter 15: Capability Studies for Attributes
- Chapter 16: Part Three: Case Studies
-
Part Four: Multi-Vari Charts And Statistical Process Control
- Chapter 17: Multi-Vari Charts
- Chapter 18: Control Charts I: Individual Observations
- Chapter 19: Control Charts II: Means and Ranges
-
Chapter 20: Control Charts for Attributes
- 20.1 File ‘MOTORS’
- 20.2 Plotting the Proportion of Defective Units (P)
- 20.3 File ‘CATHETER’
- 20.4 Plotting the Number of Defective Units (NP)
- 20.5 Plotting the Number of Defects per Constant Unit of Measurement (C)
- 20.6 File ‘FABRIC’
- 20.7 Plotting the Number of Defects per Variable Unit of Measurement (U)
- Chapter 21: Part Four: Case Studies
- Part Five: Regression And Multivariate Analysis
- Part Six: Experimental Design And Reliability
-
Appendices
-
A1 Appendix 1: Answers to Questions that Arise at the Beginning
- 1. Why do some columns that should contain data appear to be empty?
- 2. I cannot make any operation with the data contained in a column. What is happening?
- 3. I saw some instructions in the menus and now there is no way to find them. What is going on?
- 4. All menu options are inactive. How can I return to a normal situation?
- 5. I have a column containing numbers, but it appears with a text format. What should I do?
- 6. I am creating a graph and it is displayed with options that I have not chosen. Why?
- 7. I have stored a worksheet but I do not know where it is located. What can I do?
- 8. Why is the Minitab prompt MTB> not displayed in the session window?
- A2 Appendix 2: Managing Data
- A3 Appendix 3: Customization of Minitab
-
A1 Appendix 1: Answers to Questions that Arise at the Beginning
- Index
Product information
- Title: Industrial Statistics with Minitab
- Author(s):
- Release date: October 2012
- Publisher(s): Wiley
- ISBN: 9780470972755
You might also like
book
R Data Analysis Projects
Get valuable insights from your data by building data analysis systems from scratch with R. About …
book
Douglas Montgomery's Introduction to Statistical Quality Control
Master Statistical Quality Control using JMP ! Using examples from the popular textbook by Douglas Montgomery, …
book
Theory and Methods of Statistics
Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. …
book
R: Recipes for Analysis, Visualization and Machine Learning
Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning About …