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Dependent t-Test for Paired Samples – Laerd Statistics

It explains how the dependent t-test can look for “differences” between means when participants are measured on the same dependent variable under two different conditions.

Parametric and Non-Parametric Tests for Comparing Two or More Groups

It explains how to choose the right test for two or more groups. A useful guide is to use a Bonferroni correction, which states simply that if one is testing n independent hypotheses, one should use a significance level of 0.05/n.