Quality Improvement should be something everyone strives to achieve in the workplace, whether in manufacturing, services or healthcare. There are numerous strategies for Quality Improvement, but none to rival Six Sigma, both in terms of growing popularity, and the emphasis that it places on the use of statistical methods. "Six Sigma Quality Improvement with MINITAB" explains the most important statistical methods employed in Six Sigma and demonstrates their implementation via the very popular, and user-friendly, statistical software package MINITAB (Release 14). The features include: introduction to key statistical methods for Quality Improvement using MINITAB; minimal prior knowledge of statistical methods and no prior knowledge of MINITAB assumed; easy-to-follow guidance for Six Sigma Green and Black Belts and others involved in Quality Improvement; provides informative follow-up exercises, from a wide variety of scenarios, on each topic; employs random data generation in MINITAB to aid understanding of key statistical concepts; supported by a website featuring data sets for download and notes and answers for the follow-up exercises; and developed from the author's wealth of experience gained from many years working both in education and consultancy. This book will be of great value to Six Sigma practitioners, as well as those employing other strategies for Quality Improvement. Furthermore, students of Quality Improvement and anyone with an interest in data analysis and statistical methods and their implementation via MINITAB software will find this book invaluable.