In a clinical trial, 25 out of 881 patients taking a prescription drug complained of flulike symptoms. Suppose that it is know that 2.6% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 2.6% of this drug's users experience flulike symptoms as a side effect at the (alpha) a=0.1 level of significance?
1) What are the null and alternative hypotheses?
2) What is the test statistic?
3) What is the P-value?
4) Choose the correct conclusion below:
A. Since P-value > (alpha) a, do not reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.6% of the users experience flulike symptoms.
B. Since P-value < (alpha) a, reject the null hypothesis and conclude that there is sufficient evidence that more than 2.6% of the users experience flulike symptoms.
C. Since P-value > (alpha) a, reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.6% of the users experience flulike symptoms.
D. Since P-value < (alpha) a, do not reject the null hypothesis and conclude that there is sufficient evidence that more than 2.6% of the users experience flulike symptoms.
1)
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: p = 0.026
Alternative Hypothesis, Ha: p > 0.026
2)
Test statistic,
z = (pcap - p)/sqrt(p*(1-p)/n)
z = (0.0284 - 0.026)/sqrt(0.026*(1-0.026)/881)
z = 0.45
3)
P-value Approach
P-value = 0.3264
As P-value >= 0.1, fail to reject null hypothesis.
4)
A. Since P-value > (alpha) a, do not reject the null hypothesis
and conclude that there is not sufficient evidence that more than
2.6% of the users experience flulike symptoms.
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