parametric test

collocation in English

meaningsofparametricandtest

These words are often used together. Click on the links below to explore the meanings. Or,see other collocations withtest.
parametric
adjective
uk
/ˌpær.əˈmet.rɪk/
us
/ˌper.əˈmet.rɪk/
relating to the parameters of something (= a set of facts or a fixed limit that establishes or limits how something can or must happen or ...
See more atparametric
test
noun[C]
uk
/test/
us
/test/
a way of discovering, by questions or practical activities, what someone knows, or what someone or something can do or ...
See more attest

(Definition ofparametricandtestfrom theCambridge English Dictionary© Cambridge University Press)

Examplesofparametric test

These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
The 7% (compare 5%) increase in safe-key use with longer forgetting intervals was also not significant by aparametrictest.
From theCambridge English Corpus
The t-test is aparametrictestused to determine the significance of the difference between two groups of data measured on an interval scale.
From theCambridge English Corpus
It was found that the dependent variable ' 'reaction time measurement' ' was not normally distributed and a log transformation was performed in order to be able to applyparametrictestprocedures.
From theCambridge English Corpus
Log-transformation of data before the application ofparametrictest, or the use of non-parametric statistics is recommended by several authors.
From
Wikipedia
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Parametric tests were used when warranted; otherwise nonparametric tests were used.
From theCambridge English Corpus
Parametric tests were preceded by tests of their assumptions (normal distribution and homogeneity of variance).
From theCambridge English Corpus
Having achieved similar results, we hereby present a detailed description of the analysis obtained from the parametric tests.
From theCambridge English Corpus
A common assumption required by the parametric tests of statistical significance used in logistic regression, is the hypothesis of independence between observations.
From theCambridge English Corpus
To investigate differences between authority types, parametric tests of significance (t-tests and two-way analysis of variance) were used when the cases were grouped.
From theCambridge English Corpus
All density data were log-transformed to meet the assumptions of parametric tests.
From theCambridge English Corpus
In order to normalize the data and make parametric tests applicable the z-scores of all data were calculated first.
From theCambridge English Corpus
To avoid applying parametric tests to data that do not meet their requirements, a standard was applied to all continuous data before inclusion.
From theCambridge English Corpus
Second, the profound individual differences expected among young infants violate the assumption of equality of population variances (homogeneity of variance) for most parametric tests.
From theCambridge English Corpus
All statistical tests used are standard parametric tests.
From theCambridge English Corpus
In the first series of analyses, fish species were treated as independent observations, using standard parametric tests on log-transformed continuous variables.
From theCambridge English Corpus
The increased research resource use associated with collecting a larger sample of cost data meant that parametric tests could be applied.
From theCambridge English Corpus
Variables that did not meet the assumptions of parametric tests were log-transformed prior to analysis.
From theCambridge English Corpus
A log transformation was performed on the total score of internalizing problems during adulthood to reduce skewness for parametric tests.
From theCambridge English Corpus
Parametric tests were used where the assumptions for normality were met.
From theCambridge English Corpus
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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