Probability distributions

Probability distributions connect the result of a statistical experiment with its probability of occurrence. The distribution data is represented as statistics or as graphs.

Background of probability distributions
Probabilities can be calculated for different distributions. You can calculate the probability density for continuous distributions (probability mass function for discrete distributions), cumulative functions, or inverse cumulative functions.
Usage of probability distributions
Probability distributions can be of type discrete or of type continuous, depending on whether you want to define probabilities for discrete variables or for continuous variables.
Functions for probability distributions
Available function types are D (density), P (cumulative), or Q (inverse cumulative).

Parent topic: Analytic stored procedures