Description

Book Synopsis
This book is a convenient and comprehensive guide to statistics. A resource for quality technicians and engineers in any industry, this second edition provides even more equations and examples for the reader-with a continued focus on algebra-based math. Those preparing for ASQ certification examinations, such as the Certified Quality Technician (CQT), Certified Six Sigma Green Belt (CSSGB), Certified Quality Engineer (CQE), Certified Six Sigma Black Belt (CSSBB), Certified Reliability Engineer (CRE), and Certified Supplier Quality Professional (CSQP), will find this book helpful as well. Inside you''ll find: Complete calculations for determining confidence intervals, tolerances, sample size, outliers, process capability, and system reliability Newly added equations for hypothesis tests (such as the Kruskal-Wallis test and Levene''s test for equality of variances), the Taguchi method, and Weibull and log-normal distributions Hundreds of completed examples to demonstrate practical use of each equation 20+ appendices, including distribution tables, critical values tables, control charts, sampling plans, and a beta table

Practical Engineering, Process, and Reliability Statistics

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    A Paperback by Mark Allen Durivage

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      Book details

      Published 31 March 2022
      ISBN-13 9781636940151
      978-1636940151
      ISBN-10 1636940153

      Description

      Book Synopsis
      This book is a convenient and comprehensive guide to statistics. A resource for quality technicians and engineers in any industry, this second edition provides even more equations and examples for the reader-with a continued focus on algebra-based math. Those preparing for ASQ certification examinations, such as the Certified Quality Technician (CQT), Certified Six Sigma Green Belt (CSSGB), Certified Quality Engineer (CQE), Certified Six Sigma Black Belt (CSSBB), Certified Reliability Engineer (CRE), and Certified Supplier Quality Professional (CSQP), will find this book helpful as well. Inside you''ll find: Complete calculations for determining confidence intervals, tolerances, sample size, outliers, process capability, and system reliability Newly added equations for hypothesis tests (such as the Kruskal-Wallis test and Levene''s test for equality of variances), the Taguchi method, and Weibull and log-normal distributions Hundreds of completed examples to demonstrate practical use of each equation 20+ appendices, including distribution tables, critical values tables, control charts, sampling plans, and a beta table

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