Where ‘sup’ stands for supremum which means the greatest. F^* (x) is the hypothesized distribution function whereas F_n (x) is the EDF estimated based on the random sample. In KS test of normality, F^* (x) is taken to be a normal distribution with known mean.µ, and standard deviation, σ.