# Discrete Cumulative Function

This function applies to both discrete and continuous
Cumulative Distribution Function (CDF) - returns the probability of getting less than or equal to a particular random variable.

The convention is to use a capital F to represent this function
Also known as ?
This function returns the probability of a random variable having a value less than x.
This can be thought of as the "area so far" function of the probability distribution.

let x represent all the random variables
Let X be a specific random variable
Then Pr(x < X) can be found using the cumulative distribution function.

### Complementary Cumulative Distribution Function

Also known as the "complementary cumulative distribution function (ccdf)", "survival function", "reliability function", "tail distribution" or "excedance"

### Folded Cumulative Distribution Function

Also known as mountain plot

### Inverse Cumulative Distribution Function

This function returns the random variable where the probability of getting less than or equal to it is P.