Statistics for Six Sigma Black Belts
About this ebook
Six Sigma Black Belts typically use a statistical program such as Minitab to perform calculations, but an understanding of the underlying statistics is still needed. Anybody can type data into a program; a Black Belt must be capable of understanding which hypothesis test is appropriate for a given use, as well as the assumptions that must be met to correctly perform the hypothesis test.
The methods presented here are laid out according to the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) phases in which they are typically used. However, these methods can also be applied outside of a Six Sigma project, such as when one simply needs to determine whether there is a difference in the means of two processes producing the same parts.
A Six Sigma Black Belt using Statistics for Six Sigma Black Belts will be able to quickly zero in on appropriate methods and follow the examples to reach the correct statistical conclusions.About the author
Matthew A. Barsalou is employed by BorgWarner Turbo Systems Engineering GmbH, where he provides engineering teams with support and training in quality related tools and methods, including statistical analysis. His past positions include quality/laboratory technician, quality engineer, and quality manager. Barsalous certifications include TÜV quality management representative, quality manager, quality auditor, and ISO/TS 16949 quality auditor, as well as ASQ certifications as quality technician, quality engineer, and Six Sigma Black Belt. He is certified as a Lean Six Sigma Mater Black Belt by Smarter Solutions, Inc. He has a Master of Liberal Studies from Fort Hays State University and a Master of Science in Business Administration and Engineering from Wilhelm Büchner Hochschule. He is the ASQ Statistics Division Newsletter editor and a frequent contributor to Quality Digest and the Minitab Blog, and has published in German, American, and British quality journals.