Difference between revisions of "Skewed distribution"
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A common example is the log-normal distribution. A result of the central limit theorem is that these arise in quantities that are products. | A common example is the log-normal distribution. A result of the central limit theorem is that these arise in quantities that are products. | ||
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| + | A nice example for many purposes is the [[beta distribution]] — like the normal distribution, it only requires two parameters to define it. | ||
The opposite of a skewed distribution is a symmetric one, for example the [[normal distribution]]. | The opposite of a skewed distribution is a symmetric one, for example the [[normal distribution]]. | ||
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[[Media:Skewed_distributions.svg|SVG version is here.]] | [[Media:Skewed_distributions.svg|SVG version is here.]] | ||
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| + | ==See also== | ||
| + | * [[Normal distribution]] | ||
| + | * [[Average]] | ||
==External links== | ==External links== | ||
* [[Wikipedia:Log-normal distribution|Log-normal distribution]] | * [[Wikipedia:Log-normal distribution|Log-normal distribution]] | ||
| + | * [[Wikipedia:Beta distribution|Beta distribution]] | ||
{{stub}} | {{stub}} | ||
| − | [[Category:Cheatsheets]] | + | [[Category:Cheatsheets]] [[Category:Statistics]] |
Latest revision as of 14:18, 8 January 2014
A common example is the log-normal distribution. A result of the central limit theorem is that these arise in quantities that are products.
A nice example for many purposes is the beta distribution — like the normal distribution, it only requires two parameters to define it.
The opposite of a skewed distribution is a symmetric one, for example the normal distribution.
Nomenclature
One of the most commonly mis-remembered diagrams in subsurface science!
See also
External links
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