Video Poker Glossary
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Cumulative Distribution Function
  1. The integral of the Probability Density Function (not rigorous)
  2. A statistical distribution, indicating the probability of receiving an outcome or a lower ranked outcome for all possible outcomes. The function can range from 0 to 1 (or 100%).
An example of a Cumulative Distribution Function is the well-known "error function" (ERF) whose probability density function is the Normal distribution.
See also: Probability Density Function.
Probability Density Function
A function describing the probability of event occurring for all possible events. For video poker, the set of events are precisely the possible winning hands along with "nada" the event for a non-winning hand. The probability of each winning hand (and nada) depend on the strategy, and can be obtained by numerical simulation or direct computation (hand enumeration). From the Probability Density Function, one can compute the game return and variance (that is, from the first and second moments).
See also: Cumulative Distribution Function.
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