About: D'Agostino's K-squared test

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In statistics, D'Agostino's K2 test, named for Ralph D'Agostino, is a goodness-of-fit measure of departure from normality, that is the test aims to gauge the compatibility of given data with the null hypothesis that the data is a realization of independent, identically distributed Gaussian random variables. The test is based on transformations of the sample kurtosis and skewness, and has power only against the alternatives that the distribution is skewed and/or kurtic.

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rdf:type	software yago:WikicatNormalityTests yago:Abstraction100002137 yago:Cognition100023271 yago:Experiment105798043 yago:HigherCognitiveProcess105770664 yago:Inquiry105797597 yago:ProblemSolving105796750 yago:Process105701363 yago:PsychologicalFeature100023100 yago:Thinking105770926 yago:Trial105799212
rdfs:label	D'Agostino's K-squared test (en) Test de D'Agostino (fr) ダゴスティーノのK二乗検定 (ja)
rdfs:comment	In statistics, D'Agostino's K2 test, named for Ralph D'Agostino, is a goodness-of-fit measure of departure from normality, that is the test aims to gauge the compatibility of given data with the null hypothesis that the data is a realization of independent, identically distributed Gaussian random variables. The test is based on transformations of the sample kurtosis and skewness, and has power only against the alternatives that the distribution is skewed and/or kurtic. (en) Le test de D'Agostino ou test du K² de D'Agostino est un test statistique nommé en l'honneur de Ralph D'Agostino. Il s'agit d'un test de normalité c'est-à-dire un test qui évalue si la distribution des valeurs dans un échantillon provient d'une population avec une distribution normale. Le test est basé sur les transformations du kurtosis et de l'asymétrie de l'échantillon et est plus puissant uniquement face aux tests alternatifs qui vérifie si la distribution est asymétrique ou kurtique. * Portail des probabilités et de la statistique (fr) ダゴスティーノのK二乗検定（ダゴスティーノのKにじょうけんてい、英：D'Agostino's K-squared test）とは、統計学において正規性からの逸脱についてのである。ある標本が正規分布母集団由来かどうかを検定する。この検定は標本尖度と標本歪度の変換に基づいている。この検定は歪んだ分布や尖った分布に対してのみ検出力を持つ。 (ja)
dcterms:subject	Normality tests Parametric statistics
Wikipage page ID	11686201 (xsd:integer)
Wikipage revision ID	1113465266 (xsd:integer)
Link from a Wikipage to another Wikipage	Kurtosis Null hypothesis Normality tests Parametric statistics Mean Chi-squared distribution Normality tests Consistent estimator Statistics Jarque–Bera test Normal distribution Central moment Biometrika Shapiro–Wilk test Skewness The American Statistician Ralph D'Agostino (statistician) Goodness-of-fit
Link from a Wikipage to an external page	http://www.cee.mtu.edu/~vgriffis/CE%205620%20materials/CE5620%20Reading/DAgostino%20et%20al%20-%20normaility%20tests.pdf https://web.archive.org/web/20120325140006/http:/www.cee.mtu.edu/~vgriffis/CE%205620%20materials/CE5620%20Reading/DAgostino%20et%20al%20-%20normaility%20tests.pdf
sameAs	D'Agostino's K-squared test D'Agostino's K-squared test D'Agostino's K-squared test D'Agostino's K-squared test D'Agostino's K-squared test D'Agostino's K-squared test D'Agostino's K-squared test
dbp:wikiPageUsesTemplate	dbt:= dbt:Better_source dbt:Citation_needed dbt:Cite_journal dbt:Harv dbt:Harvtxt dbt:Radic dbt:Refbegin dbt:Refend dbt:Statistics
date	November 2010 (en)
reason	need more accessible source so that quoted expression can be checked (en)
has abstract	In statistics, D'Agostino's K2 test, named for Ralph D'Agostino, is a goodness-of-fit measure of departure from normality, that is the test aims to gauge the compatibility of given data with the null hypothesis that the data is a realization of independent, identically distributed Gaussian random variables. The test is based on transformations of the sample kurtosis and skewness, and has power only against the alternatives that the distribution is skewed and/or kurtic. (en) Le test de D'Agostino ou test du K² de D'Agostino est un test statistique nommé en l'honneur de Ralph D'Agostino. Il s'agit d'un test de normalité c'est-à-dire un test qui évalue si la distribution des valeurs dans un échantillon provient d'une population avec une distribution normale. Le test est basé sur les transformations du kurtosis et de l'asymétrie de l'échantillon et est plus puissant uniquement face aux tests alternatifs qui vérifie si la distribution est asymétrique ou kurtique. * Portail des probabilités et de la statistique (fr) ダゴスティーノのK二乗検定（ダゴスティーノのKにじょうけんてい、英：D'Agostino's K-squared test）とは、統計学において正規性からの逸脱についてのである。ある標本が正規分布母集団由来かどうかを検定する。この検定は標本尖度と標本歪度の変換に基づいている。この検定は歪んだ分布や尖った分布に対してのみ検出力を持つ。 (ja)
gold:hypernym	Measure
prov:wasDerivedFrom	wikipedia-en:D'Agostino's_K-squared_test?oldid=1113465266&ns=0
page length (characters) of wiki page	9659 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:D'Agostino's_K-squared_test
is Link from a Wikipage to another Wikipage of	D'Agostino-Pearson Test Kurtosis D'Agostino (disambiguation) Jarque–Bera test Normal distribution Shapiro–Wilk test Skewness List of statistics articles Normality test D’Agostino’s K-squared test
is Wikipage redirect of	D'Agostino-Pearson Test D’Agostino’s K-squared test
is Wikipage disambiguates of	D'Agostino (disambiguation)
is foaf:primaryTopic of	wikipedia-en:D'Agostino's_K-squared_test

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