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- Normality_test abstract "In statistics, normality tests are used to determine if a data set is well-modeled by a normal distribution and to compute how likely it is for a random variable underlying the data set to be normally distributed.More precisely, the tests are a form of model selection, and can be interpreted several ways, depending on one's interpretations of probability: In descriptive statistics terms, one measures a goodness of fit of a normal model to the data – if the fit is poor then the data are not well modeled in that respect by a normal distribution, without making a judgment on any underlying variable. In frequentist statistics statistical hypothesis testing, data are tested against the null hypothesis that it is normally distributed. In Bayesian statistics, one does not simply "test normality" per se, but rather computes the likelihood that the data comes from a normal distribution with given parameters μ,σ (for all μ,σ), and compares that with the likelihood that the data come from other distributions under consideration, most simply using a Bayes factor (giving the relative likelihood of seeing the data given different models), or more finely taking a prior distribution on possible models and parameters and computing a posterior distribution given the computed likelihoods.".
- Normality_test wikiPageExternalLink energy.
- Normality_test wikiPageExternalLink nortest.pdf.
- Normality_test wikiPageExternalLink watch?v=IiedOyglLn0.
- Normality_test wikiPageID "8617378".
- Normality_test wikiPageRevisionID "603632740".
- Normality_test hasPhotoCollection Normality_test.
- Normality_test subject Category:Normality_tests.
- Normality_test subject Category:Parametric_statistics.
- Normality_test subject Category:Statistical_tests.
- Normality_test type Abstraction100002137.
- Normality_test type Cognition100023271.
- Normality_test type Experiment105798043.
- Normality_test type HigherCognitiveProcess105770664.
- Normality_test type Inquiry105797597.
- Normality_test type NormalityTests.
- Normality_test type ProblemSolving105796750.
- Normality_test type Process105701363.
- Normality_test type PsychologicalFeature100023100.
- Normality_test type StatisticalTests.
- Normality_test type Thinking105770926.
- Normality_test type Trial105799212.
- Normality_test comment "In statistics, normality tests are used to determine if a data set is well-modeled by a normal distribution and to compute how likely it is for a random variable underlying the data set to be normally distributed.More precisely, the tests are a form of model selection, and can be interpreted several ways, depending on one's interpretations of probability: In descriptive statistics terms, one measures a goodness of fit of a normal model to the data – if the fit is poor then the data are not well modeled in that respect by a normal distribution, without making a judgment on any underlying variable. ".
- Normality_test label "Normality test".
- Normality_test label "Test de normalité".
- Normality_test label "Teste de normalidade".
- Normality_test sameAs Normaltasunerako_frogak.
- Normality_test sameAs Test_de_normalité.
- Normality_test sameAs Teste_de_normalidade.
- Normality_test sameAs m.027b6d3.
- Normality_test sameAs Q3026029.
- Normality_test sameAs Q3026029.
- Normality_test sameAs Normality_test.
- Normality_test wasDerivedFrom Normality_test?oldid=603632740.
- Normality_test isPrimaryTopicOf Normality_test.