b. Perform a hypothesis test to test whether the proportion of patients who achieve a positive outcome with the current treatment (ritonavir-boosted darunavir) is less than the pro positive outcome with the new treatment (dorovirine). Use a significance level of 0.01. Analyze the results and determine if dorovirine is a more effective treatment for HIV-1 than Consider population 1 to be the ritonavir-boosted darunavir with the proportion of positive outcomes p, and population 2 to be the dorovirine with the proportion of positive outco alternative hypotheses for the hypothesis test? O A. Ho: P1 = P2 Ha: P1 P2 OC. Ho: P1 =P2 Ha: P1 # P2 O D. Ho: P1 > P2 Ha: P1 = P2 O E. Ho: P1 * P2 Ha: P1 = P2 OF. Ho: P1
b. Perform a hypothesis test to test whether the proportion of patients who achieve a positive outcome with the current treatment (ritonavir-boosted darunavir) is less than the pro positive outcome with the new treatment (dorovirine). Use a significance level of 0.01. Analyze the results and determine if dorovirine is a more effective treatment for HIV-1 than Consider population 1 to be the ritonavir-boosted darunavir with the proportion of positive outcomes p, and population 2 to be the dorovirine with the proportion of positive outco alternative hypotheses for the hypothesis test? O A. Ho: P1 = P2 Ha: P1 P2 OC. Ho: P1 =P2 Ha: P1 # P2 O D. Ho: P1 > P2 Ha: P1 = P2 O E. Ho: P1 * P2 Ha: P1 = P2 OF. Ho: P1
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Transcribed Image Text:(Round to two decimal places as needed.)
b. Perform a hypothesis test to test whether the proportion of patients who achieve a positive outcome with the current treatment (ritonavir-boosted darunavir) is less than the pro
positive outcome with the new treatment (dorovirine). Use a significance level of 0.01. Analyze the results and determine if dorovirine is a more effective treatment for HIV-1 than
Consider population 1 to be the ritonavir-boosted darunavir with the proportion of positive outcomes p, and population 2 to be the dorovirine with the proportion of positive outco
alternative hypotheses for the hypothesis test?
O A. Ho: P1 = P2
Ha: P1 <P2
O D. Ho: P1 > P2
Ha: P1 = P2
O B. Ho: P1 = P2
Ha: P1 > P2
O E. Ho: P1 # P2
OC. Ho: P1 = P2
Ha: P1 #P2
OF. Ho: P1 <P2
Hg: P1 =P2
Ha: P1 = P2
Identify the test statistic.
z=
(Round to two decimal places as needed.)
Identify the p-value.
p-value =
(Round to three décimal places as needed.)
Since the p-value is (1)
the significance level of a = 0.01, (2)
the null hypothesis. There is (3).
evidence to support the clai
ritonavir-boosted darunavir group is (4)
the percentage from the dorovirine group.
Analyze the results. Is dorovirine a more effective treatment for HIV-1 than ritonavir-boosted darunavir? Why or why not?
O A. Yes, since the decision of the test was to fail to reject the null hypothesis of the proportion from the ritonavir-boosted darunavir group being greater than the proporti
O B. No, since the decision of the test was to fail to reject the null hypothesis of no difference.
O C. No; although the decision of the test was to reject the null hypothesis of no difference, it cannot be concluded that one treatment is better than the other-it can on
O D. Yes, since the decision of the test was to reject the null hypothesis of no difference.
(1) O greater than
O less than
O reject
O fail to reject
(2)
(3) O insufficient
O sufficient
(4) O greater than
O different from
O. less than
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40. A study for the treatment of patients with HIV-1 was a randomized, controlled, double-blind study that compared the effectiveness of ritonavir-boosted darunavir (rbd), the drug currently used to treat HIV-1, with
dorovirine, a newly developed drug. Of the 384 subjects taking ritonavir-boosted darunavir, 309 achieved a positive result. Of the 384 subjects taking dorovirine, 325 achieved a positive result. Complete parts (a) and
(b).
a. Find the sample percentage of subjects who achieved a positive outcome in each group.
The sample percentage of subjects who achieve a positive outcome with ritonavir-boosted darunavir is
%. The sample percentage of subjects who achieve a positive outcome with dorovirine is
%.
(Round to two decimal places as needed.)
b. Perform a hypothesis test to test whether the proportion of patients who achieve a positive outcome with the current treatment (ritonavir-boosted darunavir) is less than the proportion of patients who achieve a
positive outcome with the new treatment (dorovirine). Use a significance level of 0.01. Analyze the results and determine if dorovirine is a more effective treatment for HIV-1 than ritonavir-boosted darunavir,
Consider population 1 to be the ritonavir-boosted darunavir with the proportion of positive outcomes p, and population 2 to be the dorovirine with the proportion of positive outcomes p2. What are the null and
alternative hypotheses for the hypothesis test?
O A. Ho: P1 = P2
Ha: P1 <P2
O B. Ho: P1 = P2
H: P, > P2
OC. Ho: P1 = P2
Ha: P1 #P2
O D. Ho: P1 > P2
Ha: P1 = P2
O E. Ho: P1 * P2
Hạ: P1 =P2
OF. Ho: P1 <P2
Ha: P1 =P2
Identify the test statistic.
(Round to two decimal places as needed.)
Identify the p-value.
p-value =
(Round to three decimal places as needed.)
Since the p-value is (1)
the significance level of a = 0.01, (2)
the null hypothesis. There is (3)
evidence to support the claim that the percentage from the
ritonavir-boosted darunavir group is (4).
the percentage from the dorovirine group.
Analyze the results. Is dorovirine a more effective treatment for HIV-1 than ritonavir-boosted darunavir? Why or why not?
O A. Yes, since the decision of the test was to fail to reject the null hypothesis of the proportion from the ritonavir-boosted darunavir group being greater than the proportion of the dorovirine group.
O B. No, since the decision of the test was to fail to reject the null hypothesis of no difference.
OC. No; although the decision of the test was to reject the null hypothesis of no difference, it cannot be concluded that one treatment is better than the other-it can only be concluded that they are different.
O D. Yes, since the decision of the test was to reject the null hypothesis of no difference.
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