Chapter 7: Random Numbers and Numbers Following a Pattern.Chapter 3: Pareto Charts and CauseвЂ“Effect Diagrams.2.3 Changing the Appearance of Histograms.Chapter 2: Graphics for Univariate Data.1.5 Deleting and Inserting Columns and Rows.1.3 Saving Data: Worksheets and Projects.Part One: Introduction And Graphical Techniques.

The book can also be used as quick reference enabling the reader to be confident enough to explore other MINITAB capabilities. Six Sigma Green Belts and Black Belts will find explanations and examples of the most relevant techniques in DMAIC projects. Is supported by an accompanying website featuring case studies and the corresponding datasets. Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in industry.Д®xplores statistical techniques and how they can be used effectively with the help of MINITAB 16.Д¬ontains extensive illustrative examples and case studies throughout and assumes no previous statistical knowledge.Д®mphasises data graphics and visualization, and the most used industrial statistical tools, such as Statistical Process Control and Design of Experiments. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context.

Minitab 18 release date