Question: difference between type1 and type 2 error in research
Answer: type I error is the incorrect rejection of a true null hypothesis ( also known as a `` false positive '' finding ) , while a type II error is incorrectly retaining a false null hypothesis ( also known as a `` false negative '' finding )