sometimes substantially, and so we really do not have as much control of P(Type I error) as the chosen value of ! leads us to believe. A hypothesis test for which P(Type I error) = ! is called an exact test. The onesample t -test is guaranteed to be an exact test only
when the data come from a normal distribution