The Six Sigma Practitioner's Guide to Data Analysis
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The Six Sigma Practitioner's Guide to Data Analysis
Dr. Wheeler has written a practical guide that will help you figure out when and where to use the many data analysis techniques taught in most Six Sigma programs. This book is completely different from traditional texts in statistics since it is written from the perspective of the data analyst rather than that of the mathematician. The emphasis is upon how to gain the maximum insight with the least effort. The equivalence of different analysis techniques is presented and illustrated, using real data sets. The types of questions that are appropriate for different situations are presented. A rigorous explanation of why you should operate your process with a capability index in the vicinity of 2.0 is included, along with a simple way to convert capability indexes into integrated measures of the combined losses (in dollars) due to scrap, rework, and variation around the target. Also included is a DMAIC model that is an improvement over most, yet also easier to apply. This new book will clarify the confusion surrounding statistical inference; allow you to simplify your approach to data analysis without losing any of the interesting information contained in your data; and provide you with more effective ways to share your analyses with others. It will also help you identify the right projects, facilitate the necessary buy-in, and communicate your results with the greatest clarity. It won t tell you how to do Six Sigma, but it will tell you how to do Six Sigma better!