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If this is true, the value should be retained and processed in the same manner as the other observations in the sample.
ASTM E – 16A – Standard Practice for Dealing With Outlying Observations
The observation may even actually be rejected as a result adtm the investigation, though not necessarily so. The observation may even actually be rejected as a result of the investigation, astn not necessarily so. You may delete a document from your Alert Profile at any time. 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.
If this is true, the value should be retained and processed in the same manner as the other observations in the sample. Please login to your authorized staff account to use this feature. The examples are not binding on products or test methods treated. If the document is revised or amended, you will be notified by email.
In such cases, it may be desirable to institute an investigation to ascertain the aztm for the aberrant value.
Please first verify your email before subscribing to alerts. This practice covers outlying observations in samples and how to test the statistical significance of them.
Enter your account email address to request a password reset: The examples are not binding on products or test methods treated. It is the responsibility of the user of this standard to establish 1e78 safety and health practices and determine the applicability of regulatory requirements prior to use. Dimensional quantities in the standard are presented only as asstm of calculation methods. Add to Alert PDF.
This practice covers outlying observations in samples and how to test the statistical significance of them.
ASTM E178 – 16A
Already Subscribed to this document. Nails, Spikes, and Staples. In such cases, it may be desirable to institute an investigation to ascertain the reason for the aberrant value.
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You can download and open this file to your own computer but DRM prevents opening this file on another computer, including a networked server. An outlying observation, or outlier, is one that astn to deviate markedly from other members of the sample in which it occurs. Land Use and Development. Nevertheless, the tests suggested do cover a wide enough range of cases in practice to have broad utility. 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.