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ASTM D 6617 : 2017

Superseded

Superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

View Superseded by

Standard Practice for Laboratory Bias Detection Using Single Test Result from Standard Material

Available format(s)

Hardcopy , PDF

Superseded date

19-05-2021

Superseded by

ASTM D 6617 : 2021

Language(s)

English

Published date

31-05-2017

€67.30
Excluding VAT

1.1 This practice covers a methodology for establishing an acceptable tolerance zone for the difference between the result obtained from a single implementation of a test method on a Check Standard (CS) and its ARV, based on user-specified Type I error, the user-established test method precision, the standard error of the ARV, and a presumed hypothesis that the laboratory is performing the test method without bias.

Committee
D 02
DocumentType
Standard Practice
Pages
5
PublisherName
American Society for Testing and Materials
Status
Superseded
SupersededBy
Supersedes

1.1This practice covers a methodology for establishing an acceptable tolerance zone for the difference between the result obtained from a single implementation of a test method on a Check Standard (CS) and its ARV, based on user-specified Type I error, the user-established test method precision, the standard error of the ARV, and a presumed hypothesis that the laboratory is performing the test method without bias.

Note 1:Throughout this practice, the term “user” refers to the user of this practice, and the term “laboratory” (see 1.1) refers to the organization or entity that is performing the test method.

1.2For the tolerance zone established in 1.1, a methodology is presented to estimate the probability that the single test result will fall outside the zone, in the event that the presumed hypothesis is not true and there is a bias (positive or negative) of a user-specified magnitude that is deemed to be of practical concern.

1.3This practice is intended for ASTM Committee D02 test methods that produce results on a continuous numerical scale.

1.4This practice assumes that the normal (Gaussian) model is adequate for the description and prediction of measurement system behavior when it is in a state of statistical control.

Note 2:While this practice does not cover scenarios in which multiple results are obtained on the same CS under site precision or repeatability conditions, the statistical concepts presented are applicable. Users wishing to apply these concepts for the scenarios described are advised to consult a statistician and to reference the CS methodology described in Practice D6299.

1.5This 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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ASTM D 2699 : 2013 : REV B Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 2699 : 2001 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 2699 : 2006 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 2699 : 2015 : REV A Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 2699 : 2002 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 2699 : 2009 : EDT 1 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
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ASTM D 2699 : 2018 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
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ASTM D 2699 : 2013 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 2699 : 2010 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 2699 : 2019 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 6299 : 2002 Standard Practice for Applying Statistical Quality Assurance Techniques to Evaluate Analytical Measurement System Performance

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