F-Test

This is a parametric test that evaluates whether or not two populations have equal variances.

  • The data from two independent samples/groups should be stored in separate numeric columns. The number of observations can be the same or different for the two variables.
  • Most implementations of the F-test generate an F value >= 1 by adopting the convention that the F statistic is always calculated with the largest variance in the numerator, and therefore only the right one-tailed test is employed (F-max test). Aabel does not limit hypothesis testing in this manner and allows all possible hypotheses to be tested. For every hypothesis, both p values and critical F values for the prescribed α value are provided. (see the example table report below).