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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F Standard Specification for Driven Fasteners: At any rate, in subsequent data analysis the outlier or outliers will be recognized as probably being from awtm different population than that of the other sample values.

ASTM E – 16 Standard Practice for Dealing With Outlying Observations

An outlying observation, or “outlier,” is one that appears to deviate markedly from other members of the sample in which it occurs. If this is true, the value should be retained and processed in the same manner as the other observations in the sample.

Copyright Compu-tecture, Inc. This practice covers outlying observations in samples and how to test the statistical significance of them. Print 1 2 3 4 5 page sstarting from page current page. 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. Remember me for one month. 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. Your Alert Profile lists the documents that will be monitored.

Already Subscribed to this document. Nails, Spikes, and Staples. In this connection, the following two alternatives are of interest: In such cases, it may be desirable to institute an investigation to ascertain the reason for the aberrant value.

An outlying observation, or outlier, 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.

ASTM E – Standard Practice for Dealing With Outlying Observations

Are you sure you want to empty the cart? As the voice of the U. In this connection, the following two alternatives are of interest:. This standard is not included in any packages. Referenced Documents purchase separately The documents listed below are referenced within the subject standard but are not provided as part of the standard.

In such cases, it may be desirable to institute an investigation to ascertain the reason for the aberrant value. Standards Subsctiption may be the perfect solution. Please login to your authorized staff account to use this feature. Dimensional quantities in the standard are presented only as illustrations of calculation methods.

If the document is revised or amended, you will be notified by email. 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.

In such cases, it may be desirable to institute an investigation to ascertain the reason for awtm aberrant value. Please first verify your email before subscribing to alerts. Dimensional quantities in the standard are presented only as illustrations of calculation methods.

The observation may even actually be rejected as a result of the investigation, though not necessarily so. 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.

ASTM E178 – 16A

Register for a trial account. If e78 is true, the value should be retained and processed in the same manner as the other observations in the sample.

This standard is also available to be included in Standards Subscriptions. This practice covers outlying observations in samples and how to test the statistical significance of them. Nevertheless, the tests suggested do cover a wide enough range of cases in practice to have broad utility.

In this connection, the following two alternatives are of interest: Enter your personal account email address to request a password reset: E Standard Guide for Thermocouple Verification.