Difference between revisions of "Dispersion"

From Open Risk Manual
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== Definition ==
 
== Definition ==
'''Dispersion'''. Degree of scatter or variability shown by observations
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'''Dispersion'''. Degree of scatter or variability shown by observations. A measure of statistical dispersion is a nonnegative real number that is zero if all the data are the same and increases as the data become more diverse.
 
 
A measure of statistical dispersion is a nonnegative real number that is zero if all the data are the same and increases as the data become more diverse.
 
  
 
== Example ==
 
== Example ==
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This entry annotates a [https://spec.edmcouncil.org/fibo/ FIBO Ontology Class]. FIBO is a trademark and the FIBO Ontology is copyright of the EDM Council, released under the [https://opensource.org/licenses/MIT MIT Open Source License]. There is no guarantee that the content of this page will remain aligned with, or correctly interprets, the concepts covered by the FIBO ontology.
 
This entry annotates a [https://spec.edmcouncil.org/fibo/ FIBO Ontology Class]. FIBO is a trademark and the FIBO Ontology is copyright of the EDM Council, released under the [https://opensource.org/licenses/MIT MIT Open Source License]. There is no guarantee that the content of this page will remain aligned with, or correctly interprets, the concepts covered by the FIBO ontology.
  
[[Category:Analytics]]
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[[Category:Statistics]]
  
 
{{#set: isDefinedBy | https://spec.edmcouncil.org/fibo/ontology/FND/Utilities/Analytics/index-en.html }}
 
{{#set: isDefinedBy | https://spec.edmcouncil.org/fibo/ontology/FND/Utilities/Analytics/index-en.html }}
  
 
__SHOWFACTBOX__
 
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Latest revision as of 14:52, 18 October 2021

Definition

Dispersion. Degree of scatter or variability shown by observations. A measure of statistical dispersion is a nonnegative real number that is zero if all the data are the same and increases as the data become more diverse.

Example

Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range. The collection size argument, above, represents the number of elements in the set, if known. The collection of values under consideration is represented as a structured collection in FIBO, typically a sample set derived from a finite population.

See Also


Disclaimer

This entry annotates a FIBO Ontology Class. FIBO is a trademark and the FIBO Ontology is copyright of the EDM Council, released under the MIT Open Source License. There is no guarantee that the content of this page will remain aligned with, or correctly interprets, the concepts covered by the FIBO ontology.