ASTM E178 PDF

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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Asm outlying observation, or outlier, is one that appears to deviate markedly from other members of the sample in which it occurs. 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.

This practice covers outlying observations in samples and how to test the statistical significance of them.

Need more than one copy? 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. If you like to setup a quick demo, let us know at support madcad. The examples are not binding on products or test methods treated.

This abstract is a brief summary of the referenced standard. Today, some 12, ASTM standards are used around the world to improve atsm quality, enhance safety, facilitate market access and trade, and build consumer confidence.

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.

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ASTM E – 16a Standard Practice for Dealing With Outlying Observations

In this connection, the following two alternatives are of interest: E Standard Guide for Thermocouple Verification.

In such cases, it may be desirable to institute an investigation to ascertain the reason for the aberrant value.

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. Subscription pricing is determined by: 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 aastm values.

At any rate, in subsequent data analysis, the outlier or outliers will be recognized as astk being from a different population than that of the other sample values.

ASTM E178 – 16A

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. Enter your account email address to request a password reset: In such cases, it may be desirable to institute an investigation to ascertain the reason for the aberrant value. 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.

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ASTM E – 16 Standard Practice for Dealing With Outlying Observations

Dimensional quantities in the standard are presented only as illustrations of calculation methods. Print 1 2 3 4 5 page sstarting from page current page. Please first log in with a verified email before subscribing to alerts. 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.

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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. This standard is also available to be included in Standards Subscriptions. The observation may even actually be rejected as a result of the investigation, though not necessarily so. Already Subscribed to this document.

Nevertheless, the tests suggested do cover a wide enough range of cases in practice to have broad utility. 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: The boldface numbers in parentheses refer to a list of references at the end of this standard. 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.

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E Terminology Relating to Quality and Statistics. An s178 observation, or outlier, is one that appears to deviate markedly from other members astn the sample in which it occurs. At any rate, asym subsequent data analysis the outlier or outliers will be recognized as probably being from a different population than that of the other sample values.

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