Question: what is the difference between type 1 and type 2 errors in hypothesis testing?
Answer: A type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population; a type II error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population.