Test t


Révision datée du 15 décembre 2020 à 12:30 par Pitpitt (discussion | contributions) (Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' XXXXXXXXX ''' == Anglais == ''' T-Test''' The t-test compares the means (averages) of two populatio... »)
(diff) ← Version précédente | Voir la version actuelle (diff) | Version suivante → (diff)

en construction

Définition

XXXXXXXXX

Français

XXXXXXXXX

Anglais

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