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.
|Published (Last):||9 June 2017|
|PDF File Size:||8.44 Mb|
|ePub File Size:||14.18 Mb|
|Price:||Free* [*Free Regsitration Required]|
An outlying observation, or ashm, is one that appears to deviate markedly from other members of the sample in which it occurs. The observation may even actually be rejected as a result of the investigation, though not necessarily so.
In this connection, the following two alternatives are of interest: It is informational only and not an official part of the standard; the full text of the standard itself must be referred satm for its use and application.
This practice covers outlying observations in samples and how to test the statistical significance of them. Referenced Documents purchase separately The documents listed below are referenced within the subject standard but are not provided as part of the standard.
ASTM does not give any warranty express or implied or make any representation that the contents of this abstract e78 accurate, complete or up to date.
This abstract is a brief summary of the referenced standard. In such cases, it may be desirable to institute an investigation to ascertain the reason for the aberrant value. If this is true, the value should be retained and processed in the same manner as the other observations in the sample.
Dimensional quantities in the standard are presented only as illustrations of calculation methods. 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.
ASTM E – 16 Standard Practice for Dealing With Outlying Observations
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. Link to Active This link will always route to the aatm Active version of the standard.
The examples are not binding on products or test methods treated. Historical Version s – view previous versions of standard. Recommended criteria and illustrations for single samples including the Dixon criteria which are based asfm on ratios of differences between the observations, criterion using independent standard deviation, and criterion for known standard deviation are presented.