A large statistics class consists of 250 students. On the final exam, the professor worries that question 13 might be unfair. He resolves to drop question 13 if less than 40% of the class correctly answers the question. After grading 125 randomly selected final exams (out of 250 taken), a student calls the professor and asks if question 13 will be dropped. The professor looks at the graded exams and notes that 46 of the 125 graded exams got question 13 correct. Based on this partial information, the professor will create an 84% confidence interval for the proportion of the entire class of 250 students that correctly answered question 13 on the final in order to assess whether it is likely he will drop that question.
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“success”.
Population: _____________________________
Success: ________________________________
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Note: CF is important here
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(a) Population: All the students in the statistics class
Success: 46 out of 125 students in the statistics class who got question 13 correct
(b) p̂ = 46/125 = 0.368
The 84% confidence interval will be:
= p ± z*(√p(1-p)/n)
= 0.368 ± 0.99*(√0.368(1-0.368)/125)
= (0.3074, 0.4286)
(c) Since the confidence interval contains 0.40, question 13 will not be dropped.
(d) We can be 84% confident that the true percentage of students in the entire class correctly answering question 13 will be in the confidence interval.
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