Often, it is best to test for all assumptions before going ahead and doing your desired statistical test. The common ones are testing the assumption of normality and homogeneity of variance.

Evidence from statistical analyses is often used to make the case for causal relationships. While statistical analyses can help establish causal relationships, it can also provide strong evidence of ...

Matt Goldman, David M. Kaplan, Non-parametric inference on (conditional) quantile differences and interquantile ranges, using L-statistics, The Econometrics Journal, Vol. 21, No. 2 (2018), pp. 136-169 ...