Cumulative Probability

This returns the probability of getting "less than or equal to" a particular random variable.

Cumulative Distribution Function (CDF)

This function applies to both discrete and continuous distributions.

This 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 "greater than" equal to it is P.