A doctor found that therapy has an effect on reducing pain, but because of experimental error, the doctor's results led her to the conclusion that it has no significant effect. This is called:
Type I error or Type II error?
I have an explanation of the two types of errors (Type I-reject the null when shouldn't have; Type II- fail to reject the null when you should have), but I am having a hard time wrapping my brain around it.
Would someone please be willing to explain to me in basic terms how I would figure this out?
Thank you ahead of time!