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Multivariat variansanalys (MANOVA)×Parade sampel t-test×
ÄmnesområdeStatistikStatistik
FamiljHypothesis testHypothesis test
Ursprungsår19321908
UpphovspersonSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)Student (W. S. Gosset)
TypParametric multivariate mean comparisonParametric mean comparison (paired)
UrsprungskällaTabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE. ISBN: 978-1446249185
AliasMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)dependent samples t-test, repeated measures t-test, matched-pairs t-test, eşleştirilmiş örneklem t-testi
Närliggande54
SammanfattningMANOVA is a parametric hypothesis test that simultaneously compares group means across multiple continuous dependent variables, controlling the inflation of Type I error that would result from running separate ANOVAs. Key multivariate test statistics — Wilks' Lambda, Pillai's Trace, Hotelling-Lawley Trace, and Roy's Greatest Root — were developed between the 1930s and 1950s, with Wilks' Lambda formalised by Samuel Stanley Wilks in 1932.The paired samples t-test is a parametric hypothesis test that compares two measurements taken on the same subjects — such as a before and after reading — to decide whether the average change differs from zero. It rests on the t-distribution introduced by Student (W. S. Gosset) in 1908 and works on the within-subject difference scores rather than the raw measurements.
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ScholarGateJämför metoder: MANOVA · Paired t-test. Hämtad 2026-06-20 från https://scholargate.app/sv/compare