ScholarGate
Asistent

Usporedite metode

Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.

Jedno-uzoračni t-test×Jednosmjerna analiza varijance×
PodručjeStatistikaStatistika
ObiteljHypothesis testHypothesis test
Godina nastanka19081925
TvoracStudent (W. S. Gosset)Ronald A. Fisher
VrstaParametric mean comparisonParametric mean comparison
Temeljni izvorStudent (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 ↗
Drugi nazivisingle-sample t-test, one-group t-test, one-sample t, Student one-sample t-testone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Srodne34
SažetakThe one-sample t-test is a parametric hypothesis test that determines whether the mean of a single sample differs significantly from a known or hypothesized population value. Derived from Student's (Gosset's) 1908 t-distribution, it assumes continuous, approximately normally distributed data and is one of the most fundamental tests in applied statistics.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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretraživanje Preuzmi prezentaciju

ScholarGateUsporedite metode: One-sample t-test · One-way ANOVA. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare