The use of frequentist Null Hypothesis Significance Testing (NHST) is so<br>an integral part of scientists' behavior that its uses cannot be discontinued<br>by flinging it out of the window. Faced with this situation, our teaching<br>strategy involves a smooth transition towards the Bayesian paradigm. Its<br>general outlines are as follows. (1) To present natural Bayesian interpretations<br>of NHST outcomes to draw attention to their shortcomings. (2) To create<br>as a result of this the need for a change of emphasis in the presentation and<br>interpretation of results. (3) Finally to equip students with a real possibility of<br>thinking sensibly about statistical inference problems and behaving in a more<br>reasonable manner. Our conclusion is that teaching the Bayesian approach in<br>the context of experimental data analysis appears both desirable and feasible.
The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education