A common way of illustrating the idea behind statistical power in null hypothesis significance testing, is by plotting the sampling distributions of the null hypothesis ($ H_0 $) and the alternative hypothesis ($ H_A $). Typically, these illustrations highlight the regions that correspond to making a type II error ($ beta $), type I...