Encodes the aggregate probability of a specific distribution function (PDF). That is, the value of the cumulative function CDF(x) describes how likely it is that a randomly chosen value is smaller than or equal to the value of the associated PDF(x). Analytically speaking, the cumulative density function is the integral starting at negative infinity of the probability density function. Equivalently, $F(x)=P(X\le x)$.