(Type inteoers ot decimals. Do not round.) In a clinical trial, 23 out of 897 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.1% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 2.1% of this drug's users experience flulike symptoms as a side effect at the a=0.01 level of significance? Because npo (1- Po) =D 10, the sample size is v 5% of the population size, and the sample the requirements for testing the hypothesis V satisfied. (Round to one decimal place as needed.) What are the null and alternative hypotheses? versus H, Ho integers Find the test statistic, Zo Zo =(Round to two decimal places as needed.) Find the P.value. P.value = (Round to three decimal places as needed.) Choose the correct conclusion below. O A. Since P-value a, reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.1% of the users experience flulike symptoms. OD. Since P-value >a, do not reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.1% of the users experience flulike symptoms.

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In a clinical trial, 23 out of 897 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.1% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than
2.1% of this drug's users experience flulike symptoms as a side effect at the a = 0.01 level of significance?
Because npo (1- Po) =
V 10, the sample size is
5% of the population size, and the sample
V the requirements for testing the hypothesis
V satisfied.
(Round to one decimal place as needed.)
What are the null and alternative hypotheses?
Ho:
versus H1:
(Type integers or decimals. Do not round.)
Find the test statistic, zo-
Zo =
(Round to two decimal places as needed.)
Find the P-value.
P-value =
(Round to three decimal places as needed.)
Choose the correct conclusion below.
A. Since P-value < a, do not reject the null hypothesis and conclude that there is sufficient evidence that more than 2.1% of the users experience flulike symptoms.
O B. Since P-value < a, reject the null hypothesis and conclude that there is sufficient evidence that more than 2.1% of the users experience flulike symptoms.
OC. Since P-value > a, reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.1% of the users experience flulike symptoms.
O D. Since P-value > a, do not reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.1% of the users experience flulike symptoms.
Transcribed Image Text:In a clinical trial, 23 out of 897 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.1% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 2.1% of this drug's users experience flulike symptoms as a side effect at the a = 0.01 level of significance? Because npo (1- Po) = V 10, the sample size is 5% of the population size, and the sample V the requirements for testing the hypothesis V satisfied. (Round to one decimal place as needed.) What are the null and alternative hypotheses? Ho: versus H1: (Type integers or decimals. Do not round.) Find the test statistic, zo- Zo = (Round to two decimal places as needed.) Find the P-value. P-value = (Round to three decimal places as needed.) Choose the correct conclusion below. A. Since P-value < a, do not reject the null hypothesis and conclude that there is sufficient evidence that more than 2.1% of the users experience flulike symptoms. O B. Since P-value < a, reject the null hypothesis and conclude that there is sufficient evidence that more than 2.1% of the users experience flulike symptoms. OC. Since P-value > a, reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.1% of the users experience flulike symptoms. O D. Since P-value > a, do not reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.1% of the users experience flulike symptoms.
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