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Linganisha mbinu

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Upimaji wa t-wa Sampuli Moja×Uchanganuzi wa Faulo wa Njia Moja×
NyanjaTakwimuTakwimu
FamiliaHypothesis testHypothesis test
Mwaka wa asili19081925
MwanzilishiStudent (W. S. Gosset)Ronald A. Fisher
AinaParametric mean comparisonParametric mean comparison
Chanzo asiliaStudent (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 ↗
Majina mbadalasingle-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
Zinazohusiana34
MuhtasariThe 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.
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: One-sample t-test · One-way ANOVA. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare