Compute the coefficient of variation for a variable of interest, given the variable's mean and standard deviation. Knowing the coefficient of variation for a particular variable can be very valuable in analytics studies as a way of quantifying the degree of dispersion within a set of observations.
Compute the factorial for any nonnegative integer which has a value ranging from 0 to 2,000. Factorials are very useful for analytics studies that involve combinatorics and permutations, and are also involved in several foundational functions that are used to compute a wide variety of analytics-related statistics.
Compute an adjusted R-square (or population R-square) value, given an observed (sample) R-square value, the number of predictor variables, and the total sample size. Knowing adjusted R-square values can be very useful in analytics for comparing models that use different numbers of predictor variables.
Compute a z-score (or standard normal score), given an unstandardized raw value, the population mean, and the population standard deviation. Computing z-scores can be very useful for analytics studies that want to compare values or observations from different categories or populations.