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Cumulative distribution function
Probability that random variable X is less than or equal to x / From Wikipedia, the free encyclopedia
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In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable , or just distribution function of
, evaluated at
, is the probability that
will take a value less than or equal to
.[1]
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Every probability distribution supported on the real numbers, discrete or "mixed" as well as continuous, is uniquely identified by a right-continuous monotone increasing function (a càdlàg function) satisfying
and
.
In the case of a scalar continuous distribution, it gives the area under the probability density function from negative infinity to . Cumulative distribution functions are also used to specify the distribution of multivariate random variables.