Sammenlign metoder

	Paired Samples t-test	One-sample t-test
Fagområde	Statistik	Statistik
Familie	Hypothesis test	Hypothesis test
Oprindelsesår	1908	1908
Ophavsperson	Student (W. S. Gosset)	Student (W. S. Gosset)
Type	Parametric mean comparison	Parametric mean comparison
Oprindelig kilde	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Aliasser	dependent t-test, matched pairs t-test, repeated measures t-test, within-subjects t-test	single-sample t-test, one-group t-test, one-sample t, Student one-sample t-test
Relaterede	3	3
Resumé	The paired samples t-test is a parametric hypothesis test that compares the means of two related measurements from the same subjects or matched pairs to determine whether the average difference is significantly different from zero. It leverages the dependency between observations to produce a more powerful test than its independent-samples counterpart.	The 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.