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Interpretation of Quality Statistics Using Sampling Error  

Choi, Sung-Woon (Department of Industrial Engineering, Kyungwon University)
Publication Information
Journal of the Korea Safety Management & Science / v.10, no.2, 2008 , pp. 205-210 More about this Journal
Abstract
The research interprets the principles of sampling error design for quality statistics models such as hypothesis test, interval estimation, control charts and acceptance sampling. Introducing the proper discussions of the design of significance level according to the use of hypothesis test, then it presents two methods to interpret significance by Neyman-Pearson and Fisher. Second point of the study proposes the design of confidence level for interval estimation by Bayesian confidence set, frequentist confidential set and fiducial interval. Third, the content also indicates the design of type I error and type II error considering both productivity and customer claim for control chart. Finally, the study reflects the design of producer's risk with operating charistictics curve, screening and switch rules for the purpose of purchasing and subcontraction.
Keywords
Sampling Error; Test; Significance; Neyman-Pearson; Fisher; Confidence Level; Bayesian; Frequentist; Fiducial; Control Chart; Productivity; Claim; Acceptance Sampling; Purpose of Purchasing;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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