Six Sigma Quality Improvement with Minitab

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As Six Sigma evolves, it continues to be used worldwide to identify and remove causes of nonconformance and to reduce variability in manufacturing, business and healthcare processes. It is applied through a structured, project-based approach that places emphasis on the use of statistical methods. This new edition of Six Sigma Quality Improvement with Minitab enables readers to understand and implement data displays and statistical methods fundamental to Six Sigma via the highly popular, widely available and easy to use statistical software Minitab (Release 16). Key Features: Provides an introduction to key statistical methods for Six Sigma and quality improvement and their application via Minitab. * No prior knowledge of statistics or Minitab is assumed and theory is kept to an absolute minimum. * Explanations are detailed, carefully worded and supported by numerous screen captures. * Explores additional topics, including Pareto charts, cause-and-effect diagrams, time-weighted control charts, multivariate control charts and logistics regression. * Uses random data generation facilities in Minitab, to illustrate key statistical results and concepts. * Presents informative follow-up exercises from a wide variety of scenarios, on each topic. * Supported by a website providing data sets for download and comprehensive notes and answers to the follow-up exercises. * Includes information on the comprehensive help facilities available to Minitab users such as the new Assistant. This book will be of great value to Six Sigma Green and Black Belts and to quality improvement practitioners generally. In addition, students and anyone with an interest in quality improvement, data analysis, statistics methods and their implementation via Minitab, will also find this book of value.