Kolmogorov-Smirnov one-sample test:

In theory, Monte Carlo studies rely on computers to generate large sets of random numbers. Particularly important are random variables representing the uniform pdf defined over the unit interval, fy(y) = 1,0 ≤ y ≤ 1. In practice, though, computers typically generate pseudorandom numbers, the latter being values produced system­atically by sophisticated algorithms that presumably mimic "true" random variables. Below are one hundred pseudorandom numbers from a uniform pdf. Set up and test the appropriate goodness-of-fit hypothesis. Let α = 0.05.