To say that our dominant statistical paradigm, “Null Hypothesis 
Significance Testing” (NHST), is confusing is an understatement. It has 
been shown that it often befuddles even experts. In this workshop, I 
will explain the underlying logic of NHST, and why it is so confusing. I 
will then introduce an alternative approach, the Bayesian framework, 
which is more consistent, easier to interpret, and above all, answers 
the questions that empirical scientists (even those who use NHST) really 
*want* to ask.

Find slides here