Students always wonder why do we reject the null hypothesis when the p-value is less than the level of significance. To understand how hypothesis testing works, students can read more here. So what exactly is type I error?

Level of significance is probability of rejecting the null hypothesis when it is true.

Credits: www.personal.ceu.hu
Credits: www.personal.ceu.hu

From the table above, Type I Error is what we refer to as the level of significance.

One Comment

Leave a Reply