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Uavhengig utvalg t-test×Enveis variansanalyse×
FagfeltStatistikkStatistikk
FamilieHypothesis testHypothesis test
Opprinnelsesår19081925
OpphavspersonStudent (W. S. Gosset)Ronald A. Fisher
TypeParametric mean comparisonParametric mean comparison
Opprinnelig kildeStudent (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Aliasstudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testione-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Relaterte44
SammendragThe independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGateSammenlign metoder: Independent t-test · One-way ANOVA. Hentet 2026-06-19 fra https://scholargate.app/no/compare