Gray Pena
08/09/2024 · Senior High School

Researchers selected 872 patients at random among those who take a certain widely-used prescription drug daily. In a clinical trial, 27 out of the 872 patients complained of flulike symptoms. Suppose that it is known that \( 2.7 \% \) of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than \( 2.7 \% \) of this drug's users experience flulike symptoms as a side effect at the \( \alpha=0.1 \) level of significance? Because \( \mathrm{np}_{0}\left(1-\mathrm{p}_{0}\right)=\square 10 \), the sample size is selected at random, all of the requirements for testing the hypothesis (Round to one decimal place as needed.)

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The sample proportion of patients experiencing flulike symptoms is 0.0309. The test statistic is 0.7091, and the critical value for \( \alpha = 0.1 \) is 1.28. Since the test statistic is less than the critical value, we fail to reject the null hypothesis. There is not sufficient evidence to conclude that more than 2.7% of patients taking the drug experience flulike symptoms.

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