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Modern Industrial Statistics: With Applications in R, Minitab, and Jmp

Contributor(s): Kenett, Ron S (Author), Zacks, Shelemyahu (Author)

ISBN: 9781119714903

Publisher: Wiley

Hardcover
$118.95
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Pub Date: May 17, 2021

Dewey: 620.00452

LCCN: 2020051133

Lexile Code: 0000

Features: Bibliography, Index

Target Age Group: NA to NA

Physical Info: 1.81" H x 9.61" L x 6.69" W ( 3.48 lbs) 880 pages

Series: Statistics in Practice

Descriptions, Reviews, etc.

Description: "Industrial Statistics is concerned with maintaining and improving the quality of goods and services. It involves a broad range of statistical tools but maintaining and improving quality is its main concern. Variability is inherent in all processes, whether they be manufacturing processes or service processes. This variability must be controlled to create high quality goods and services and must be reduced to improve quality. Industrial Statistics focuses on the use of statistical thinking, i.e., the appreciation of the inherent variability of all processes in order that all possible outcomes can be assessed. It also focuses on developing skills for modeling data and designing experiments that can lead to improvements in performance and reductions in variablity"--

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