In clinical trials of a medication, 2055 subjects were divided into two groups. The 1536 subjects in group 1 received the medication. The 519 in group 2 received a placebo. Of the 1536 subjects in group 1, 57 experienced dizziness as a side effect. In group 2, 13 experienced dizziness as a side effect. To test whether the proportion experiencing dizziness in group 1 is greater than that in group 2, the researchers entered the data into statistical software and obtained the following results. Test at a = 0.01. Sample p Estimate for p(1) - p(2): 0.012061 0.037109 95% Cl for p(1) – p(2): (– 0.004374, 0.028496) 0.025048 Test for p(1) – p(2) = 0 (vs > 0): z = 1.31 P-value = 0.095 Sample 1536 519 57 2 13 (This is a reading assessment question. Be certain of your answer because you only get one attempt on this question.) What conclusion can be drawn at the a = 0.01 level of significance? O A. Do not reject Ho, there is not enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2. O B. Reject Ho, there is not enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2. O C. Reject Ho, there is enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2. O D. Do not reject Ho, there is enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2.
In clinical trials of a medication, 2055 subjects were divided into two groups. The 1536 subjects in group 1 received the medication. The 519 in group 2 received a placebo. Of the 1536 subjects in group 1, 57 experienced dizziness as a side effect. In group 2, 13 experienced dizziness as a side effect. To test whether the proportion experiencing dizziness in group 1 is greater than that in group 2, the researchers entered the data into statistical software and obtained the following results. Test at a = 0.01. Sample p Estimate for p(1) - p(2): 0.012061 0.037109 95% Cl for p(1) – p(2): (– 0.004374, 0.028496) 0.025048 Test for p(1) – p(2) = 0 (vs > 0): z = 1.31 P-value = 0.095 Sample 1536 519 57 2 13 (This is a reading assessment question. Be certain of your answer because you only get one attempt on this question.) What conclusion can be drawn at the a = 0.01 level of significance? O A. Do not reject Ho, there is not enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2. O B. Reject Ho, there is not enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2. O C. Reject Ho, there is enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2. O D. Do not reject Ho, there is enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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Transcribed Image Text:In clinical trials of a medication, 2055 subjects were divided into two groups. The 1536 subjects in group 1 received the medication. The 519 in group 2 received a
placebo. Of the 1536 subjects in group 1, 57 experienced dizziness as a side effect. In group 2, 13 experienced dizziness as a side effect. To test whether the
proportion experiencing dizziness in group 1 is greater than that in group 2, the researchers entered the data into statistical software and obtained the following results.
Test at a = 0.01.
Sample
1
Sample p
0.037109 95% Cl for p(1) - p(2): (- 0.004374, 0.028496)
0.025048 Test for p(1) - p(2) = 0 (vs > 0): z = 1.31 P-value = 0.095
Estimate for p(1) - p(2): 0.012061
57
1536
13
519
%3D
(This is a reading assessment question. Be certain of your answer because you only get one attempt on this question.)
What conclusion can be drawn at the a = 0.01 level of significance?
A. Do not reject Ho, there is not enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing
dizziness in group 2.
B. Reject Ho, there is not enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness
in group 2.
C. Reject Ho, there is enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in
group 2.
D. Do not reject Ho, there is enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing
dizziness in group 2.
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