A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

The next statement shows how to compute the probability that continuous random variable X with pdf f (x) lies in the interval [a,b]. The cumulative density function (cdf) for random variable X with ...

A continuous bivariate joint density function defines the probability distribution for a pair of random variables. For example, the function f (x,y) = 1 when both x and y are in the interval [0,1] and ...