The F-test of hypothesis is a statistical method used to compare the variances of two populations or to assess the overall significance of a regression model. It’s especially useful when you want to determine whether group differences are statistically meaningful. The F-test is named after Sir Ronald A. Fisher, who developed the concept of the F-distribution.