What are some common misconceptions about the p-value?
One common misconception is that a p-value less than 0.05 proves the hypothesis. In reality, it only suggests that the data are inconsistent with the null hypothesis. Another misconception is that a non-significant p-value means there is no effect. It may simply indicate that the study was underpowered to detect a difference.
