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A RV X is defined by a function FX(x), called a cumulative distribution function (CDF) of X, which has the following properties:

Example

CDF of a RV:

Probability

For a RV X and any value a, FX(a) represents the probability that X is less than or equal to a, i.e.:

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Probability Density Function

 If a RV X is continuous, and there is a function fX(x), called the probability density function (PDF), such that:

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then X is an absolutely continuous RV.

If X is differentiable at x, then:

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The following are properties of a PDF:

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Example

PDF of a continuous RV that is uniformly distributed on the interval [0,C]:

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PDF of a continuous RV that is exponentially distributed with parameter α > 0:

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