Suppose that 800 students were selected at random from a student body of 20,000 and given shots to prevent a certain type of flu. All 800 students were exposed to the flu, and 600 of them did not get the flu. Let p represent the probability that the shot will be successful for any single student selected at random from the entire population of 20,000. Let q be the probability that the shot is not successful. What is the point estimates for p and q? Would it seem that the number of trials is large enough to justify a normal approximation to the binomial? Compute the margin of error, E for a 99% confidence interval for p. Compute a 99% confidence interval for p. What does the confidence interval you just computed mean in the context of this application?
Suppose that 800 students were selected at random from a student body of 20,000 and given shots to prevent a certain type of flu. All 800 students were exposed to the flu, and 600 of them did not get the flu. Let p represent the probability that the shot will be successful for any single student selected at random from the entire population of 20,000. Let q be the probability that the shot is not successful.
What is the point estimates for p and q?
Would it seem that the number of trials is large enough to justify a normal approximation to the binomial?
Compute the margin of error, E for a 99% confidence interval for p.
Compute a 99% confidence interval for p.
What does the confidence interval you just computed mean in the context of this application?
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