# Fail to reject the null hypothesis type error

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Stats - What Does "Fail to Reject the Null Hypothesis" Mean, And Why Do We Say it That Way? Simple definition of type I errors and type II errors in hypothesis testing. Examples called a Type 1 error), is the incorrect rejection of a true null hypothesis. called a Type 2 error) is the failure to reject a false null hypothesis. Rejecting the null hypothesis when it is in fact true is called a Type I error. Fail to reject Null Hypothesis, Correct Decision, Type II Error. Therefore, the null hypothesis was rejected, and it was concluded that type of error that can be made in significance testing is failing to reject a false null.