1.In classical hypothesis testing, we consider 2 competing hypotheses known as the “null” hypothesis and the “alternative” hypothesis.

2.The “null” hypothesis typically (but not always) assumes no association between the exposure and outcome of interest.

3.Classical hypothesis testing is based on probability theory – in other words – making a judgment as to how likely the results align with the null versus alternative hypothesis.