Cumulative Distribution Function

Overview


The cumulative distribution function is a function that can be used to represent the likelihood of the outcomes of a random variable and used to calculate various statistics of that variable.

Definition


The cumulative distribution function is defined as
{% Prob(X \leq x) = F(x) %}
The function is required to have the following properties

  • {% F(x) %} is right continuous, that is
    {% \lim_{x \rightarrow x_0} F(x) = F(x_0) %}
    where {% x > x_0 %} in the limit.
  • {% \lim_{x \rightarrow - \infty} F(x) = 0 %}
  • {% \lim_{x \rightarrow \infty} F(x) = 1 %}

Example


The following chart demonstrates the typical features of a cumulative function, in particular, the monotonically increasing nature.

Calculations Using Cumulative Function


  • Probability of an Event
  • Moments

Topics


  • Discrete Probability Distributions
  • Joint Cumulative Probability Distributions