hypothesis testing a visual introduction to stati
l aid help in understanding Type I and Type II errors? Visuals can show the relationship between the true state of the hypothesis and the decision made, illustrating how a Type I error occurs when the null is wrongly rejected and a Type II error when it is wrongly accepte