Title: Distribution Function -- from Wolfram MathWorld
Open Graph Title: Distribution Function -- from Wolfram MathWorld
X Title: Distribution Function -- from Wolfram MathWorld
Description: The distribution function D(x), also called the cumulative distribution function (CDF) or cumulative frequency function, describes the probability that a variate X takes on a value less than or equal to a number x. The distribution function is sometimes also denoted F(x) (Evans et al. 2000, p. 6). The distribution function is therefore related to a continuous probability density function P(x) by D(x) = P(X<=x) (1) = int_(-infty)^xP(xi)dxi, (2) so P(x) (when it exists) is simply the...
Open Graph Description: The distribution function D(x), also called the cumulative distribution function (CDF) or cumulative frequency function, describes the probability that a variate X takes on a value less than or equal to a number x. The distribution function is sometimes also denoted F(x) (Evans et al. 2000, p. 6). The distribution function is therefore related to a continuous probability density function P(x) by D(x) = P(X<=x) (1) = int_(-infty)^xP(xi)dxi, (2) so P(x) (when it exists) is simply the...
X Description: The distribution function D(x), also called the cumulative distribution function (CDF) or cumulative frequency function, describes the probability that a variate X takes on a value less than or equal to a number x. The distribution function is sometimes also denoted F(x) (Evans et al. 2000, p. 6). The distribution function is therefore related to a continuous probability density function P(x) by D(x) = P(X<=x) (1) = int_(-infty)^xP(xi)dxi, (2) so P(x) (when it exists) is simply the...
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| DC.Title | Distribution Function |
| DC.Creator | Weisstein, Eric W. |
| DC.Description | The distribution function D(x), also called the cumulative distribution function (CDF) or cumulative frequency function, describes the probability that a variate X takes on a value less than or equal to a number x. The distribution function is sometimes also denoted F(x) (Evans et al. 2000, p. 6). The distribution function is therefore related to a continuous probability density function P(x) by D(x) = P(X<=x) (1) = int_(-infty)^xP(xi)dxi, (2) so P(x) (when it exists) is simply the... |
| DC.Date.Modified | 2002-08-22 |
| DC.Subject | 62E |
| DC.Rights | Copyright 1999-2026 Wolfram Research, Inc. See https://mathworld.wolfram.com/about/terms.html for a full terms of use statement. |
| DC.Format | text/html |
| DC.Identifier | https://mathworld.wolfram.com/DistributionFunction.html |
| DC.Language | en |
| DC.Publisher | Wolfram Research, Inc. |
| DC.Relation.IsPartOf | https://mathworld.wolfram.com/ |
| DC.Type | Text |
| Last-Modified | 2002-08-22 |
| og:image | https://mathworld.wolfram.com/images/socialmedia/share/ogimage_DistributionFunction.png |
| og:type | website |
| twitter:card | summary_large_image |
| twitter:image:src | https://mathworld.wolfram.com/images/socialmedia/share/ogimage_DistributionFunction.png |
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