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.