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Gaussian Distribution: Difference between revisions
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(Created page with "== Introduction == The Gaussian distribution, also known as the normal distribution, is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is an exponent of a quadratic function. The parameters of the Gaussian distribution, namely the mean and variance, determine the shape and spread of the distribution. <div class='only_on_desktop image-preview'><div class='image-preview-loader'></div>...") |
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The Gaussian distribution, also known as the normal distribution, is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is an exponent of a quadratic function. The parameters of the Gaussian distribution, namely the mean and variance, determine the shape and spread of the distribution. | The Gaussian distribution, also known as the normal distribution, is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is an exponent of a quadratic function. The parameters of the Gaussian distribution, namely the mean and variance, determine the shape and spread of the distribution. | ||
[[Image:Detail-144835.jpg|thumb|center|A bell curve representing a Gaussian distribution|class=only_on_mobile]] | |||
[[Image:Detail-144836.jpg|thumb|center|A bell curve representing a Gaussian distribution|class=only_on_desktop]] | |||
== Mathematical Description == | == Mathematical Description == | ||