Answer:
Type I error
Step-by-step explanation:
A type I error is a false positive, which is when a researcher rejects a null hypothesis when it is, in fact, true
A type II error is a false negative, which is when a researcher fails to reject a null hypothesis and accepts it when it is, in fact, false.
