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Paired paraugu t-tests×Vienvirziena dispersijas analīze×
NozareStatistikaStatistika
SaimeHypothesis testHypothesis test
Izcelsmes gads19081925
AutorsStudent (W. S. Gosset)Ronald A. Fisher
TipsParametric mean comparison (paired)Parametric mean comparison
PirmavotsField, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE. ISBN: 978-1446249185Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Citi nosaukumidependent samples t-test, repeated measures t-test, matched-pairs t-test, eşleştirilmiş örneklem t-testione-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Saistītās44
KopsavilkumsThe 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.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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ScholarGateSalīdzināt metodes: Paired t-test · One-way ANOVA. Izgūts 2026-06-19 no https://scholargate.app/lv/compare