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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.
Contributeurs: Isaline Hodecent, wiki