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ASTM E 1970 : 2016

Superseded

Superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

View Superseded by

Standard Practice for Statistical Treatment of Thermoanalytical Data

Available format(s)

Hardcopy , PDF

Superseded date

05-01-2022

Language(s)

English

Published date

02-05-2016

€67.30
Excluding VAT

This practice details the statistical data treatment used in some thermal analysis methods.

Committee
E 37
DocumentType
Standard Practice
Pages
5
PublisherName
American Society for Testing and Materials
Status
Superseded
SupersededBy
Supersedes

1.1This practice details the statistical data treatment used in some thermal analysis methods.

1.2The method describes the commonly encountered statistical tools of the mean, standard derivation, relative standard deviation, pooled standard deviation, pooled relative standard deviation, the best fit to a (linear regression of a) straight line, and propagation of uncertainties for all calculations encountered in thermal analysis methods (see Practice E2586).

1.3Some thermal analysis methods derive the analytical value from the slope or intercept of a linear regression straight line assigned to three or more sets of data pairs. Such methods may require an estimation of the precision in the determined slope or intercept. The determination of this precision is not a common statistical tool. This practice details the process for obtaining such information about precision.

1.4There are no ISO methods equivalent to this practice.

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ASTM E 2161 : 2021 : REV B Standard Terminology Relating to Performance Validation in Thermal Analysis and Rheology
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ASTM E 2586 : 2010 Standard Practice for Calculating and Using Basic Statistics
ASTM E 2161:2006 Standard Terminology Relating to Performance Validation in Thermal Analysis
ASTM E 2161 : 2007 : REV A Standard Terminology Relating to Performance Validation in Thermal Analysis
ASTM E 456 : 2013 : REV A : R2017 : EDT 4 Standard Terminology Relating to Quality and Statistics
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