Salīdzināt metodes

	Viena parauga t-tests	Neatkarīgo paraugu 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 (W. S. Gosset) (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Citi nosaukumi	single-sample t-test, one-group t-test, one-sample t, Student one-sample t-test	two-sample t-test, unpaired t-test, Student t-test, independent groups t-test
Saistītās	3	4
Kopsavilkums	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.	The independent samples t-test is a parametric hypothesis test that determines whether the means of two independent, unrelated groups differ significantly on a continuous outcome variable. Derived from Gosset's 1908 t-distribution, it is one of the most widely used inferential tests in social, behavioral, biomedical, and experimental sciences.