What happens when one of the most widely used quality improvement methodologies meets the world's leading statistical software for quality improvement? Packed with case studies in a variety of sectors, including health care, manufacturing, airlines, and fast food restaurants, Six Sigma Case Studies with Minitab (R) shows you how to maximize the quality analysis and improvement tools available in Minitab (R) for your Six Sigma projects.

Highly illustrated, the book includes detailed steps and more than 380 screenshots that explain how to use:



Confidence Interval Estimation
Hypothesis Testing
Chi-Square Analysis
Process Capability Analysis
Binary Logistic Regression
Item Analysis
Cluster Analysis
Mixture Design and Analysis of Experiments
Multivariate Analysis
Pareto Charts
Cause-and-Effect Diagram
Gage Repeatability and Reproducibility Analysis
Taguchi Design and Analysis of Experiments
Factorial Design and Analysis of Experiments
Statistical Control Charts

The case studies demonstrate the wide range of sectors and uses for Six Sigma and Minitab (R). The screenshots provide exceptional detail and the book includes explanations for many Six Sigma terms and an appendix with the contents of the Minitab (R) worksheets that are referred to in most of the chapters. These features and more give you the tools to meet the challenges of continuous improvement expected in today's marketplace.