Question: A teacher proposes to implement an experimental course he developed that increases statistics comprehension in students. To evaluate the "effectiveness" of the course, the teacher administers a before and after treatment test. Each subject is administered a pre-test , then exposed to treatment, and then administered a post-test . Scores on the test are then compiled as follows.

Using an a level of .05, your desire is to test the claim that there is no difference in the before and after treatment test scores. Is there a difference? State in symbols the null and alternate hypothesis. What type of error (Type 1 or Type 2) may have been made in this case? What are the possible consequences of the error?

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