# Research and Markets: Industrial Statistics With Minitab

DUBLIN--(BUSINESS WIRE)-- Research and Markets (http://www.researchandmarkets.com/research/cr59lk/industrial) has announced the addition of John Wiley and Sons Ltd's new book "Industrial Statistics with Minitab" to their offering.

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.

Key Topics Covered:

1 A First Look

2 Graphics for Univariate Data

3 Pareto Charts and Cause-Effect Diagrams

4 Scatterplots

5 Three Dimensional Plots

6 Part One Case Studies - Introduction: Graphical Techniques

7 Random numbers and Numbers Following a Pattern

8 Computing Probabilities

9 Hypothesis Testing: The Normality Test

10 Comparison of Two Means, Two Variances or Two Proportions

11 Comparison of More Than Two Means: Analysis of Variance

12 Part Two Case Studies - Hypothesis Testing: Comparison of Treatments

13 Measurement System Study

14 Capability Studies

15 Capability Studies for Attributes

16 Part Three Case Studies - R Studies and Capability Studies

17 Multi-Vari Charts

18 Control Charts I: Individual Observations

19 Control Charts II: Means and Ranges

20 Control Charts for Attributes

21 Part Four Case Studies- Multi-Vari Charts and Statistical Process Control

22 Correlation and Simple Regression

23 Multiple Regression

24 Multivariate Analysis

25 Part Five Case Studies- Regression and Multivariate Analysis

26 Selection of the Experimental Plan Using a Factorial Design

27 Analysis and Interpretation of the Results of a Factorial Design

28 Response Surface Methodology

29 Reliability

30 Part Six Case Studies - Design of Experiments and Reliability

Authors

Pere Grima Cintas.

Lluis Marco Almagro.

Xavier Tort-Martorell Llabres.