Buy ASTM E PRACTICE FOR DEALING WITH OUTLYING OBSERVATIONS from SAI Global. 1, Outlier Calculator ASTM E 2, No. Data, Avgerage, Round to: Test Result. 3, 1, , , 3, Gmm. 4, 2, , Significant digits *, Gmm. 5, 3, , # of. Purchase your copy of ASTM E – 16A as a PDF download or hard copy directly from the official BSI Shop. All BSI British Standards available.
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If you like to setup a quick demo, let us know at support asrm. This practice covers outlying observations in samples and how to test the statistical significance of them.
ASTM E178 – 16A
An outlying observation, or outlier, is one that appears to deviate markedly from other members of the sample in which it occurs. In this connection, the following two alternatives are of interest: If this is true, the value should be retained and processed in the same manner as the other observations in the sample. In such cases, it may be desirable to institute an investigation to ascertain the reason for the aberrant value.
The observation may even actually be rejected as a result of the investigation, though not necessarily so. At any rate, in subsequent data analysis, the outlier or outliers will be recognized as probably being from a different population than that of the other sample values. Recommended criteria and illustrations for single samples including the Dixon criteria which are based entirely on ratios of differences between the observations, criterion using independent standard deviation, and criterion for known standard deviation are presented.
ASTM E – 16A – Standard Practice for Dealing With Outlying Observations
This abstract is a brief summary of the referenced standard. It is informational only and not an official part of the standard; the full text of the standard itself must be referred to for its use and application. ASTM does not give any warranty express or implied or make any representation that the contents of this abstract are accurate, complete or up to date. In this connection, the following two alternatives are of interest:.
At any rate, in subsequent data analysis the outlier or outliers will be recognized as probably being from a different population than that of the other sample values. The procedures covered herein apply primarily to the simplest kind of experimental data, that is, replicate measurements of some property of a given material, or observations in a supposedly single random sample.
Nevertheless, the tests suggested do cover a wide enough range of cases in practice to have broad utility. Referenced Documents purchase separately The documents listed below are referenced within the subject standard but are not provided as part of satm standard.
E Terminology Relating to Quality and Statistics.
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