Statistical significance: Difference between revisions
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If the data under review are NOT statistically significant, then they should not normally be used as a basis for important decisions. | If the data under review are NOT statistically significant, then they should not normally be used as a basis for important decisions. | ||
It is less likely, for example, that a very small sample of data would produce a statistically significant result. | It is less likely, for example, that a very small sample of data would produce a statistically significant result. | ||
== See also == | == See also == | ||
* [[Correlation coefficient]] | |||
* [[Data]] | |||
* [[Greenium]] | |||
* [[Materiality]] | |||
* [[Sample]] | |||
* [[Significance level]] | |||
* [[Significance testing]] | * [[Significance testing]] | ||
* [[Significant institution]] | |||
* [[Significant Risk Transfer]] | |||
* [[Statistical distribution]] | |||
* [[Statistical inference]] | |||
* [[Statistics]] | |||
* [[Type I error]] | |||
* [[Type II error]] | |||
[[Category:Corporate_finance]] | |||
[[Category:Long_term_funding]] | |||
[[Category:Risk_frameworks]] | |||
Latest revision as of 10:27, 4 January 2023
A measure of the likelihood that observed statistical data under review might have arisen randomly (rather than as a result of the proposed statistical relationship).
If the data under review are NOT statistically significant, then they should not normally be used as a basis for important decisions.
It is less likely, for example, that a very small sample of data would produce a statistically significant result.
