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  • Format: ePub

Six Sigma Black Belts are expected to have the skills of a good experimenter, possessing both a deep understanding of statistics and a knowledge of the industry in which they work. This book is written for the Six Sigma Black Belt who needs an understanding of many statistical methods but does not use all of these methods every day. It is intended to be used as a quick reference, providing basic details and formulas. 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. Included in…mehr

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Produktbeschreibung
Six Sigma Black Belts are expected to have the skills of a good experimenter, possessing both a deep understanding of statistics and a knowledge of the industry in which they work. This book is written for the Six Sigma Black Belt who needs an understanding of many statistical methods but does not use all of these methods every day. It is intended to be used as a quick reference, providing basic details and formulas. 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. Included in appendices are a flowchart that provides the correct statistical test for a given use and type; flowcharts depicting the five steps for hypothesis testing; the statistical formulas in tables to serve as a quick reference; and statistical tables.

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Autorenporträt
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 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 is the editor of the ASQ Statistics Division s newsletter Statistics Digest and a frequent contributor to Quality Digest and the Minitab Blog, and has published in German, American, and British quality journals.