Question

1. Based on past data, it is known that about 8.96% of people who go to the doctor end up testing positive for influenza. Suppose we take a sample of 100 doctor visits and find that 9.17% of people test positive for influenza. We want to see if there is evidence that the percentage of people who have influenza is increasing.
   1. If I wanted to control my margin of error and set it to 3% with 99% confidence, what sample size would I need to take instead of the 100?
   2. Using my original sample size of 100, what would be the 99% confidence interval for the population proportion?
   3. What are the null and alternative hypotheses?
   4. What is the critical value at 99% confidence?
   5. Calculate the test statistic (using the sample of 100).
   6. Find the p-value.
   7. What conclusion would be made here at the 99% confidence level?

Answer 1

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