Statistics
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| - | '''Statistical significance''' is a [[statistical]] assessment of whether observations reflect a pattern rather than just [[Randomness|chance]]. The fundamental challenge is that any partial picture of a given hypothesis, poll or question is subject to [[random error]]. In [[statistical test]]ing, a result is deemed '''statistically significant''' if it is so extreme (without external [[independent variable|variable]]s which would influence the [[correlation]] results of the test) that such a result would be expected to arise simply by chance only in rare circumstances. Hence the result provides enough evidence to reject the hypothesis of 'no effect'. | + | '''Statistics''' is the [[study]] of the [[collection]], [[organization]], [[analysis]], [[interpretation]], and [[presentation]] of [[data]]. |
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| ==See also== | ==See also== | ||
| - | * [[A/B testing]] | + | |
| - | * [[ABX test]] | + | * [[Correlates of crime]] |
| - | * [[Effect size]] | + | * [[Spherical cow ]] |
| - | * [[Fisher's method]] for combining [[statistical independence|independent]] [[statistical hypothesis testing|test]]s of significance | + | * [[Official statistics]] |
| - | * [[Legal burden of proof|Reasonable doubt]] | + | * [[Statistical significance]] |
| - | * [[Look-elsewhere effect]] | + | |
| {{GFDL}} | {{GFDL}} | ||
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Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data.
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Unless indicated otherwise, the text in this article is either based on Wikipedia article "Statistics" or another language Wikipedia page thereof used under the terms of the GNU Free Documentation License; or on research by Jahsonic and friends. See Art and Popular Culture's copyright notice.
