Before revision: In statistical hypothesis testing, a type I error, or a false positive, is when someone accepts the null hypothesis when it is in actuality false .
After revision: In statistical hypothesis testing, a type I error, or a false positive, is when someone rejects the null hypothesis when it is in actuality true .