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Description of ASTM-D2904 1997ASTM D2904-97Historical Standard: Standard Practice for Interlaboratory Testing of a Textile Test Method that Produces Normally Distributed DataASTM D2904Scope 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 D2905 and for the development of statements on precision as required in Practice D2906. 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 D4467 for test methods that produce data that are ( ) continuous data that are not normally distributed or ( ) discrete data, such as ratings on an arbitrary scale, counts that may be modelled by use of the Poisson distribution, or proportions or counts of successes in a specified number of trials that may be modelled by the binomial distribution. Note 1-Additional information on interlaboratory testing and on statistical treatment of data can be found in Practice D1749, D3040, E173, E177, E691, and Terminology E456.Keywords interlaboratory testing; precision; statist ICS Code ICS Number Code n/a DOI: 10.1520/D2904-97 The following editions for this book are also available...
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About ASTMASTM International, formerly known as the American Society for Testing and Materials (ASTM), is a globally recognized leader in the development and delivery of international voluntary consensus standards. Today, some 12,000 ASTM standards are used around the world to improve product quality, enhance safety, facilitate market access and trade, and build consumer confidence. ASTM’s leadership in international standards development is driven by the contributions of its members: more than 30,000 of the world’s top technical experts and business professionals representing 150 countries. Working in an open and transparent process and using ASTM’s advanced electronic infrastructure, ASTM members deliver the test methods, specifications, guides, and practices that support industries and governments worldwide. |
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