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About This Item
Full Description
1.1 This practice serves as a guide for planning interlaboratory tests in preparation for the calculation of the number of tests to determine the average quality of a textile material as discussed in Practice
1.2 The planning of interlaboratory tests requires a general knowledge of statistical principles including the use of variance components estimated from an analysis of variance. Interlaboratory tests should be planned, conducted, and analyzed after consultation with statisticians who are experienced in the design and analysis of experiments and who have some knowledge of the nature of the variability likely to be encountered in the test method.
1.3 The instructions in this practice are specifically applicable to design and analysis of:
1.3.1 Single laboratory preliminary trial,
1.3.2 Pilot-scale interlaboratory tests, and
1.3.3 Full-scale interlaboratory tests.
1.4 Guides for decisions pertaining to data transformations prior to analysis, the handling of missing data, and handling of outlying observations are provided.
1.5 Procedures given in this practice are applicable to test methods based on the measurement of continuous variates from normal distributions or from distributions which can be made normal by a transformation. Get qualified statistical help to ( ) decide if the data are from another known distribution, such as the Poisson distribution, ( ) make a judgment on normality, ( ) transform data to a more nearly normal distribution, or ( ) use Practice D4467. Use the procedures in Practice
Document History
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ASTM D2904-97(2002)
Standard Practice for Interlaboratory Testing of a Textile Test Method that Produces Normally Distributed Data (Withdrawn 2008)- Most Recent
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ASTM D2904-97
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Standard Practice for Interlaboratory Testing of a Textile Test Method that Produces Normally Distributed Data- Historical Version