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Question: Education and Child Development A Harris Interactive Poll for Tylenol PM indicated that 8% of American students have missed a test because they overslept. Suppose officials at a state college decide to apply a new academic policy regarding exams. If a student arrives late for a test, then the student receives a 0 for the test and cannot take a make-up test at a later time.
a. What hypotheses should be tested, in terms of p, the true proportion of students who have missed a test because they overslept, in order for college officials to prove that the new academic policy is causing fewer students to be late for exams?
b. Which error, type I or type II, is more serious for college officials? Why?
c. Which error, type I or type II, is more serious for students? Why?
In this forum post provide your results also elucidate what they mean in context of your favorite channel. To find 95 percent confidence interval for given data.
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