A Type I error: A. rejects a false null hypothesis. B. fails to reject a false null hypothesis. C. fails to reject a true null hypothesis. D. rejects a true null hypothesis.
A Type I Error is defined as rejecting the null hypothesis when it is actually true. The probability of committing a Type I error is the significance level or alpha risk.
