In clinical trials of a medication, 2128 subjects were divided into two groups. The 1585 subjects in group 1 received the medication. The 543 in group 2 received a placebo. Of the 1585 subjects in group 1, 50 experienced dizziness as a side effect. In group 2, 17 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 alphaequals0.05. Sample X N Sample p Estimate for p(1)minusp(2): 0.000238 1 50 1585 0.031546 95% CI for p(1)minusp(2): (negative 0.01675, 0.017226) 2 17 543 0.031308 Test for p(1)minusp(2)equals0 (vsgreater than0): zequals0.03 P-valueequals0.489 (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 alphaequals0.05 level of significance? A. Reject Upper H 0, there is enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2. B. Reject Upper H 0, 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. Do not reject Upper H 0, 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. D. Do not reject Upper H 0, there is enough evidence to conclude that the proportion experiencing dizziness in group 1 is greater than the proportion experiencing dizziness in group 2.
it is given that the z value is 0.03 and p value is 0.489 and it is a right tailed hypothesis.
p value is greater than 0.05 significance level, resulting in failure to reject the null hypothesis.
therefore,we can conclude that proportion experiencing dizziness in group 1 is not greater than that in group 2
option C is correct
C. Do not reject Upper H 0, 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.
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