Despite a century of progress in statistics since the introduction of ANOVA and Pearson correlation, many researchers are still squeezing their precious data into the tight corset of those dated statistical models. This is particularly limiting in applied disciplines such as HCI, where impact factors can be numerous, heterogeneous and difficult to control experimentally. The proposed tutorial aims at liberating applied researchers from constraints and concerns associated with legacy statistics.