Category:F-Tests
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This category contains results about $F$-tests.
Definitions specific to this category can be found in Definitions/F-Tests.
The $F$-test is a coefficient whose purpose is to check for equality of variances of $2$ populations.
In an analysis of variance:
- the null hypothesis is that two components estimate the same variance
- the alternative hypothesis is that the numerator component estimates a greater variance.
The latter occurrence is indicated by a high $F$ value.
It can also be used to test the acceptance of the hypothesis that two samples are from normal distributions with the same variance.
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