Type-I and Type-II Errors
q
Type I Error: You reject a null hypothesis that is true.
q
Type II Error: You fail to reject a null hypothesis that is
false
.
q
By choosing a significance level of, say,
a
=0.05, we limit
the probability of a type I error to 0.05.