Answer:
Type I error
Step-by-step explanation:
In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion).
Answer:
d
plz give me brain liest if im right
Step-by-step explanation:
Answer:mean
Step-by-step explanation: I am also not sure because I been looking for the anwser to this but I think it’s mean