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ASTM E 2709 : 2014

Superseded

Superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

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superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

Standard Practice for Demonstrating Capability to Comply with an Acceptance Procedure

Available format(s)

Hardcopy , PDF

Superseded date

11-14-2014

Language(s)

English

Published date

10-01-2014

This practice provides a general methodology for evaluating single-stage or multiple-stage acceptance procedures which involve a quality characteristic measured on a numerical scale.

1.1This practice provides a general methodology for evaluating single-stage or multiple-stage acceptance procedures which involve a quality characteristic measured on a numerical scale. This methodology computes, at a prescribed confidence level, a lower bound on the probability of passing an acceptance procedure, using estimates of the parameters of the distribution of test results from a sampled population.

1.2For a prescribed lower probability bound, the methodology can also generate an acceptance limit table, which defines a set of test method outcomes (for example, sample averages and standard deviations) that would pass the acceptance procedure at a prescribed confidence level.

1.3This approach may be used for demonstrating compliance with in-process, validation, or lot-release specifications.

1.4The system of units for this practice is not specified.

1.5This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

Committee
E 11
DocumentType
Standard Practice
Pages
7
PublisherName
American Society for Testing and Materials
Status
Superseded
SupersededBy
Supersedes

ASTM E 456 : 2013 : REV A : R2017 : EDT 3 Standard Terminology Relating to Quality and Statistics

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US$75.00
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