To put it simply, the F-test fulfills two main tasks:
Number one, it can be utilized to check whether a calculated regression is statistically significant, that is, whether the relationship between two variables, obtained by the regression, is true not only for the sample, but also for the entire population.
Secondly, with the help of an F-test one can ascertain whether two samples of different populations differ significantly in terms of a feature in their variance.
There are two surveys being conducted in Boston and Washington D.C. about body size. The F-test will determine, whether the variance (dispersion) of body sizes in the two populations differ significantly from each other. If this is the case, it is statistically useful to consider the characteristic 'height' separately for Boston and Washington D.C. If the variance is not deviant, it is permissible to combine the two cities in respect of this characteristic.
Tenga en cuenta que las entradas de nuestro glosario son explicaciones simplificadas de términos estadísticos. Nuestro objetivo es hacerlo accesible para un público amplio, así que puede que algunas definiciones no cumplan los estándares científicos.