omized, double-blind clinical trials of a new vaccine, infants were randomly divided two groups. Subjects in group 1 received the new vaccine while subjects in group 2 received a control vaccine. After the second dose, 129 of 674 subjects in the experimental group (group 1) experienced drowsiness as a side effect. After the second dose, 86 of 555 of the subjects in the control group (group 2) experienced drowsiness as a side effect. Does the evidence suggest that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a=0.10 level of significance? LE nPi (1-P1) 2 10 and ny2 (1-P2) 2 10 Determine the null and alternative hypotheses. Ho: P1 = P2 H;: P1 > P2 Find the test statistic for this hypothesis test. 1.67 (Round to two decimal places as needed.) Determine the P-value for this hypothesis test. 0.047 (Round to three decimal places as needed.) Interpret the P-value. this experiment. If the population proportions are (Round to the nearest integer as needed.) equal, one would expect a sample difference proportion greater than the one observed in about 47 out of 1000 repetitions State the conclusion for this hypothesis test. O A. Do not reject Ho- There is not sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a=0.10 level of significance. O B. Reject Ho- There is sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance. OC. Do not reject Ho. There is sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a=0.10 level of significance. O D. Reject Ho- There is not sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance.

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In randomized, double-blind clinical trials of a new vaccine, infants were randomly divided into two groups. Subjects in group 1 received the new vaccine while subjects in group 2 received a control vaccine. After the second dose, 129 of 674
subjects in the experimental group (group 1) experienced drowsiness as a side effect. After the second dose, 86 of 555 of the subjects in the control group (group 2) experienced drowsiness as a side effect. Does the evidence suggest that a
higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance?
YF
n,Pi (1-P1) 2 10 and n2P2 (1-P2) 2 10
Determine the null and alternative hypotheses.
Họ: P1
H1: P1 > P2
=
P2
Find the test statistic for this hypothesis test.
1.67 (Round to two decimal places as needed.)
Determine the P-value for this hypothesis test.
0.047 (Round to three decimal places as needed.)
Interpret the P-value.
If the population proportions are
equal,
one would expect a sample difference proportion
greater than
the one observed in about 47 out of 1000 repetitions of this experiment.
(Round to the nearest integer as needed.)
State the conclusion for this hypothesis test.
O A. Do not reject Ho. There is not sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance.
O B. Reject Hn. There is sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance.
OC. Do not reject Ho. There is sufficient evidence to conclude that a higher proportion of subjects
group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance.
O D. Reject Ho. There is not sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance.
Transcribed Image Text:In randomized, double-blind clinical trials of a new vaccine, infants were randomly divided into two groups. Subjects in group 1 received the new vaccine while subjects in group 2 received a control vaccine. After the second dose, 129 of 674 subjects in the experimental group (group 1) experienced drowsiness as a side effect. After the second dose, 86 of 555 of the subjects in the control group (group 2) experienced drowsiness as a side effect. Does the evidence suggest that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance? YF n,Pi (1-P1) 2 10 and n2P2 (1-P2) 2 10 Determine the null and alternative hypotheses. Họ: P1 H1: P1 > P2 = P2 Find the test statistic for this hypothesis test. 1.67 (Round to two decimal places as needed.) Determine the P-value for this hypothesis test. 0.047 (Round to three decimal places as needed.) Interpret the P-value. If the population proportions are equal, one would expect a sample difference proportion greater than the one observed in about 47 out of 1000 repetitions of this experiment. (Round to the nearest integer as needed.) State the conclusion for this hypothesis test. O A. Do not reject Ho. There is not sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance. O B. Reject Hn. There is sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance. OC. Do not reject Ho. There is sufficient evidence to conclude that a higher proportion of subjects group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance. O D. Reject Ho. There is not sufficient evidence to conclude that a higher proportion of subjects in group 1 experienced drowsiness as a side effect than subjects in group 2 at the a = 0.10 level of significance.
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