The One-Sample Kolmogorov-Smirnov procedure is used to test the null hypothesis that a sample comes from a particular distribution. It does this by finding the largest difference (in absolute value) between two cumulative distribution functions (CDFs)--one computed directly from the data; the other, from mathematical theory. Four theoretical distribution functions are available--normal, uniform, Poisson, and exponential. Optionally, descriptive statistics and/or quartiles of the test variable can be displayed.