The main link between F and Normal distributions is:

The Quotient to two Chi-square distributed variables (each divided by their degrees of freedom) follows an F distribution

The sums of squares of k independant normal variables follows a chi square distribution with k degrees of freedom.

So, if you have 5 normally distributed independant Variables (N1...N4)

Its often used in testing the goodness of fit of regression models.