what is the difference between a type i and type ii error 
type i and type ii errors occur during statistical hypothesis testing while the type i error a false positive rejects a null hypothesis when it is in fact correct the type ii error a false negative fails to reject a false null hypothesis for example a type i error would convict someone of a crime when they are actually innocent a type ii error would acquit a guilty individual when they are guilty of a crime 