Salīdzināt metodes

	Paired paraugu t-tests	Viena parauga t-tests
Nozare	Statistika	Statistika
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1908	1908
Autors	Student (W. S. Gosset)	Student (W. S. Gosset)
Tips	Parametric mean comparison	Parametric mean comparison
Pirmavots	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.
Citi nosaukumi	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
Saistītās	3	3
Kopsavilkums	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.