ASTM Ea. Standard Practice for Dealing With Outlying Observations. standard by ASTM International, 09/07/ View all product details. Most Recent. 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. ASTM-E – Download as PDF File .pdf) or read online. paper.
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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.
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 awtm sample values. Historical Version s – view previous versions of standard. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory requirements prior to use.
Dimensional quantities in the standard are presented only as illustrations of calculation methods. In this connection, the following two alternatives are of interest: Referenced Documents purchase separately The documents listed below are referenced within the subject standard but are not provided as part of the standard. An outlying observation, or outlier, is one that appears to deviate markedly from other members of the sample in which it occurs.
In such cases, it may be desirable to institute an investigation to ascertain the reason for the aberrant value. 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.
Historical Standards for E
Link to Aetm This link will always route to the current Active version of the standard. If this is true, the value should be retained and processed in the same manner as the other observations in the sample.
The examples are not binding on products or test 1e78 treated. This practice covers outlying observations in samples and how to test the statistical significance of them.
ASTM E178 – 16A
This abstract is a brief summary of the referenced standard. 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, asm criterion for known standard deviation are presented. The observation may even actually be rejected as a result of the investigation, though not necessarily so.