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Problem 4. In clinical trials of Nasonex, 3774 adults and adolescent allergy patients (patients 12 years and older). Were randomly divided into two groups. The

Problem 4.In clinical trials of Nasonex, 3774 adults and adolescent allergy patients (patients 12 years and older). Were randomly divided into two groups. The patients in group 1 (experimental group) received 200 g of Nasonex, while the patients in group 2 (Control group) received a placebo. Of the 2103 patients in the experimental group 647 reported headaches as a side effect. Of the 1671 patients in the control group, 468 reported headaches as a side effect.

  1. Is there a significant difference to conclude that the proportion of Nasonex users that experienced headaches as a side effect is greater than the proportion in the control group at the =0.05 level of significance?
    • Assumption:
    • Hypotheses:
    • Test statistic: what is the distribution of test statistic? Based on the sample information provided in this problem, what is the value of the test statistic?
    • P-value
    • Refer to the conclusion from this Problem. Based on the conclusion (reject the null or fail to reject the null), what type of error (either Type 1 or type 2) could you have made? Explain.
  2. Repeat this analysis in R. Hint: Use the prop.test() command
  3. Construct by hand and interpret the 90% confidence interval for the difference between the two population proportions and interpret. Hint: Don't forget to check if the assumptions are met
  4. Fond the 90% CI by using the prop.test() command in R

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