Student's t-test
A t-test is any statistical hypothesis test in which the test statistic follows a Student's t distribution if the null hypothesis is supported. It is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
Read more about Student's t-test: History, Uses, Assumptions, Unpaired and Paired Two-sample t-tests, Calculations, Worked Examples, Alternatives To The t-test For Location Problems, Multivariate Testing, Software Implementations
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“The student of Nature wonders the more and is astonished the less, the more conversant he becomes with her operations; but of all the perennial miracles she offers to his inspection, perhaps the most worthy of admiration is the development of a plant or of an animal from its embryo.”
—Thomas Henry Huxley (1825–95)