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What (who) is Student's t-test - definition
Student's t-test
![[[William Sealy Gosset]], who developed the "''t''-statistic" and published it under the [[pseudonym]] of "Student"](https://commons.wikimedia.org/wiki/Special:FilePath/William Sealy Gosset.jpg?width=200 "[[William Sealy Gosset]], who developed the \"''t''-statistic\" and published it under the [[pseudonym]] of \"Student\"")
STATISTICAL METHOD
T-test; T test; T Test; Student's t test; Ttest; Paired student's t test; Student t test; Paired t-test; Two-sample t-test; Two sample t-test; T-Test; Dependent test; Independent test; Nonpaired test; Nonpaired; T-tests; Paired samples t-test; Paired-samples t-test; Paired sample t-test; Paired-sample t-test; T-test for paired samples; Student's T-Test; Student T-test; Student's T Test; One sample t-test; Student’s T Test
The t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null hypothesis.
Student's t-test
STATISTICAL METHOD
T-test; T test; T Test; Student's t test; Ttest; Paired student's t test; Student t test; Paired t-test; Two-sample t-test; Two sample t-test; T-Test; Dependent test; Independent test; Nonpaired test; Nonpaired; T-tests; Paired samples t-test; Paired-samples t-test; Paired sample t-test; Paired-sample t-test; T-test for paired samples; Student's T-Test; Student T-test; Student's T Test; One sample t-test; Student’s T Test
¦ noun a test for statistical significance based on a fraction (t) whose numerator is drawn from a normal distribution with a mean of zero, and whose denominator is the root mean square of a number of terms drawn from the same normal distribution.
Origin
1930s: Student, the pseudonym of William Sealy Gosset, English brewery employee, who devised the test.
Welch's t-test
STATISTICAL TEST OF WHETHER TWO POPULATIONS HAVE EQUAL MEANS
Welch t-test; Welch t test; Welch's correction; Welch's t test; Welch's test
In statistics, Welch's t-test, or unequal variances t-test, is a two-sample location test which is used to test the hypothesis that two populations have equal means. It is named for its creator, Bernard Lewis Welch, is an adaptation of Student's t-test, and is more reliable when the two samples have unequal variances and possibly unequal sample sizes.
