Tests of the Kolmogorov-Smirnov Type are based on statistical procedures which use maximum vertical distance between functions as a measure of function similarity. Two empirical distribution functions are mapped against each other, or a single empirical function is mapped against a hypothetical (e.g., Normal) distribution. Conclusions are then drawn about the likelihood the two distributions are the same.