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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==Nomenclature==
 
==Nomenclature==
 
One of the most commonly mis-remembered diagrams in subsurface science!
 
One of the most commonly mis-remembered diagrams in subsurface science!
[[file:Skewed_distributions.png]]
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[[file:Skewed_distributions.png|600px]]
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[[Media:Skewed_distributions.svg|SVG version is here.]]
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==See also==
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* [[Normal distribution]]
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* [[Average]]
  
 
==External links==
 
==External links==
 
* [[Wikipedia:Log-normal distribution|Log-normal distribution]]
 
* [[Wikipedia:Log-normal distribution|Log-normal distribution]]
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* [[Wikipedia:Beta distribution|Beta distribution]]
  
 
{{stub}}
 
{{stub}}
  
[[Category:Cheatsheets]]
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[[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!

Skewed distributions.png

SVG version is here.

See also

External links

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