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How to Use the Two Sample t ‐Test
Author(s) -
Cressie N. A. C.,
Whitford H. J.
Publication year - 1986
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710280202
Subject(s) - heteroscedasticity , statistic , statistics , sample (material) , test statistic , econometrics , rule of thumb , mathematics , variance (accounting) , statistical hypothesis testing , independence (probability theory) , algorithm , chemistry , accounting , chromatography , business
This work discusses how two sample t ‐tests behave when applied to data that may violate the classical statistical assumptions of independence, heteroscedasticity and Gaussianity. The usual two sample t ‐statistic based on a pooled variance estimate and the Welch‐Aspin statistic are treated in detail. Practical “rules‐of‐thumb” are given along with their applications to various examples so that readers will easily be able to use such tests on their own data sets.