what is a type 1 error
In statistical hypothesis testing, a type I error is the incorrect rejection of a true null hypothesis (a false positive), while a type II error is the failure to reject a false null hypothesis (a false negative). type I error (or error of the first kind) is the incorrect rejection of a true null hypothesis. Usually a type I error leads one to conclude that a supposed effect or relationship exists when in fact it doesn't.