  Despite frequent calls for the overhaul of null hypothesis significance
testing (NHST), this controversial procedure remains ubiquitous in behavioral,
social and biomedical teaching and research. Little change seems possible once
the procedure becomes well ingrained in the minds and current practice of
researchers; thus, the optimal opportunity for such change is at the time the
procedure is taught, be this at undergraduate or at postgraduate levels. This
paper presents a tutorial for the teaching of data testing procedures, often
referred to as hypothesis testing theories. The first procedure introduced is
the approach to data testing followed by Fisher (tests of significance); the
second is the approach followed by Neyman and Pearson (tests of acceptance);
the final procedure is the incongruent combination of the previous two theories
into the current approach (NSHT). For those researchers sticking with the
latter, two compromise solutions on how to improve NHST conclude the tutorial.
