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Hypothesis Testing for the Process Capability Ratio

by Datar, Satyajit V

Abstract (Summary)
Process Capability Indices are used in the industry as decision making tools. The values of the indices are estimated from a sample and should be qualified. Qualification of an estimate is provided in the form of a confidence interval for the estimate or from a hypothesis test. Cp and Cpk are two of the most widely used process capability indices in industry. A hypothesis test for Cp has been developed by Kane (1986). The aim of this thesis is to develop a hypothesis test for Cpk. The hypothesis test for Cpk is developed from the approximate two sided confidence interval by Nagata and Nagahata (1992 & 1994). An Excel application has been developed which allows the user to compute cut-off and sample sizes for user-defined sampling plans. The application also computes Cp and Cpk and their confidence intervals from process data.
Bibliographical Information:

Advisor:

School:Ohio University

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:hypothesis test process capability ratio cp and cpk

ISBN:

Date of Publication:01/01/2002

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