The two sample T test is considered the most popular test to compare two independent groups. It is a UM-PU test (Uniformly Most Powerful Unbiased test) under the assumption of normality and homogeneity of variance, but under violation of these assumptions is the two sample T test still performs well? The aim of this article is to answer this question through an extended simulation study to examine the performance of the two sample T test for various shapes of data.
El Sawy, R. A. E. D. (2018). The Effect of Heterogeneity and/or Nonnormality on two Sample T test: A Simulation Study. Journal of Alexandria University for Administrative Sciences, 55(2), 461-480. doi: 10.21608/acj.2018.36220
MLA
Remah Abd El dayem El Sawy. "The Effect of Heterogeneity and/or Nonnormality on two Sample T test: A Simulation Study", Journal of Alexandria University for Administrative Sciences, 55, 2, 2018, 461-480. doi: 10.21608/acj.2018.36220
HARVARD
El Sawy, R. A. E. D. (2018). 'The Effect of Heterogeneity and/or Nonnormality on two Sample T test: A Simulation Study', Journal of Alexandria University for Administrative Sciences, 55(2), pp. 461-480. doi: 10.21608/acj.2018.36220
VANCOUVER
El Sawy, R. A. E. D. The Effect of Heterogeneity and/or Nonnormality on two Sample T test: A Simulation Study. Journal of Alexandria University for Administrative Sciences, 2018; 55(2): 461-480. doi: 10.21608/acj.2018.36220
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