A hypothesis test fails to reject a false null hypothesis. This is best described as a:
Define and interpret a test statistic, a Type Ⅰ and a Type Ⅱ error, and a significance level, and explain how significance levels are used in hypothesis testing.
When we do not reject a false null hypothesis we have a Type Ⅱ error.