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ASTM E 2334 : 2009 : R2018

Superseded

Superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

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Standard Practice for Setting an Upper Confidence Bound for a Fraction or Number of Non-Conforming items, or a Rate of Occurrence for Non-Conformities, Using Attribute Data, When There is a Zero Response in the Sample

Available format(s)

Hardcopy , PDF

Superseded date

10-02-2023

Language(s)

English

Published date

21-09-2018

€67.30
Excluding VAT

Committee
E 11
DocumentType
Standard Practice
Pages
10
PublisherName
American Society for Testing and Materials
Status
Superseded
SupersededBy
Supersedes

1.1This practice presents methodology for the setting of an upper confidence bound regarding a unknown fraction or quantity non-conforming, or a rate of occurrence for nonconformities, in cases where the method of attributes is used and there is a zero response in a sample. Three cases are considered.

1.1.1The sample is selected from a process or a very large population of discrete items, and the number of non-conforming items in the sample is zero.

1.1.2A sample of items is selected at random from a finite lot of discrete items, and the number of non-conforming items in the sample is zero.

1.1.3The sample is a portion of a continuum (time, space, volume, area, etc.) and the number of non-conformities in the sample is zero.

1.2Allowance is made for misclassification error in this practice, but only when misclassification rates are well understood or known and can be approximated numerically.

1.3The values stated in inch-pound units are to be regarded as standard. No other units of measurement are included in this standard.

1.4This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

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