The F-distribution is used to compare the variances of two populations. It is defined as the ratio of two normally distributed populations' variances. The F-distribution depends on the degrees of freedom v1 and v2, which are based on the sample sizes. The null hypothesis is that the two variances are equal. If the calculated F-value exceeds the critical value from tables, the null hypothesis is rejected.