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- Q386228 subject Q7451992.
- Q386228 abstract "In probability theory and statistics, the cumulative distribution function (CDF), or just distribution function, evaluated at 'x', is the probability that a real-valued random variable X will take a value less than or equal to x. In other words, CDF(x) = Pr(X≤x), where Pr denotes probability.In the case of a continuous distribution, it gives the area under the probability density function from minus infinity to x. Cumulative distribution functions are also used to specify the distribution of multivariate random variables.".
- Q386228 thumbnail Normal_Distribution_CDF.svg?width=300.
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- Q386228 wikiPageWikiLink Q7451992.
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- Q386228 wikiPageWikiLink Q9492.
- Q386228 comment "In probability theory and statistics, the cumulative distribution function (CDF), or just distribution function, evaluated at 'x', is the probability that a real-valued random variable X will take a value less than or equal to x. In other words, CDF(x) = Pr(X≤x), where Pr denotes probability.In the case of a continuous distribution, it gives the area under the probability density function from minus infinity to x.".
- Q386228 label "Cumulative distribution function".
- Q386228 depiction Normal_Distribution_CDF.svg.