Exact Tests:
Exact tests are hypothesis tests that are guaranteed to produce Type-I error at or below the nominal alpha level of the test when conducted on samples drawn from a null model. For example, a test conducted at the 5% level of significance that yields (false) “significant” results 5% of the time or less (when used on samples drawn from a null model) is exact. See also permutation tests, which constitute the largest class of exact tests.
Planning on taking an introductory statistics course, but not sure if you need to start at the beginning? Review the course description for each of our introductory statistics courses and estimate which best matches your level, then take the self test for that course. If you get all or almost all the questions correct, move on and take the next test.
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