## A note on robust statistical methods

Posted on 23 October 2017 in Pietro's Data Bulletin

**TL;DR**: Conventional statistical methods like the t-test or the ANOVA F test can perform very poorly if the data does not meet the assumptions of normality and homoscedasticity. So-called robust statistical methods have been developed which perform well even when these assumptions are violated (and we should use them).

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