« Test t » : différence entre les versions


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Version du 31 mars 2021 à 11:08

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T-Test

The t-test compares the means (averages) of two populations to determine how different they are from each other. The test generates a T-score and P-value, which quantify exactly how different each population is and the likelihood that this difference can be explained by chance or sampling error.

There are three variations of the t-test used for different scenarios:

Independent Samples: compares the averages for two groups.

One Sample: tests the averages of a single group against a known average.

Paired Sample: compares averages from the same group at different points of time.



Source : DeepAI.org

Contributeurs: Isaline Hodecent, wiki