The Kolmogorov-Smirnov Procedure

The Kolmogorov-Smirnov procedure:

A) compares the cumulative distribution of the data with the theoretical distribution to base its conclusion.
B) puts more weight on the differences between the tails of the distributions.
C) breaks down the theoretical distribution into areas of equal probability and compares the data points within each area to the number that would be expected for that distribution.
D) is useful when a better fit is needed at the extreme tails of the distribution.