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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 385 subjects taking ritonavir-boosted darunavir, 308 achieved a positive result. Of the 385 subjects taking dorovirine, 321 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 0.05. 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 p₁, 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? OA. Ho P1 P2 Ha P₁ =P2 OD. Ho P1 P2 HP1 P2 Identify the test statistic. 2= (Round to two decimal places as needed.) Identify the p-value. p-value = ☐ (Round to three decimal places as needed.) OB. Ho P1 P2 Ho P₁ =P2 OE. Ho: P1 P2 Ha: P1 P2 OC. Ho P₁ =P2 Ha P1 P2 OF. Ho: P₁ =P2 Hai P₁

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 385 subjects taking ritonavir-boosted darunavir, 308 achieved a positive result. Of the 385 subjects taking dorovirine, 321 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 0.05. 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 p₁, 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? OA. Ho P1 P2 Ha P₁ =P2 OD. Ho P1 P2 HP1 P2 Identify the test statistic. 2= (Round to two decimal places as needed.) Identify the p-value. p-value = ☐ (Round to three decimal places as needed.) OB. Ho P1 P2 Ho P₁ =P2 OE. Ho: P1 P2 Ha: P1 P2 OC. Ho P₁ =P2 Ha P1 P2 OF. Ho: P₁ =P2 Hai P₁

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Parts a through b please.
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 385 subjects taking ritonavir-boosted darunavir, 308 achieved a positive result. Of the 385 subjects taking dorovirine, 321 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 0.05. 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 p₁, 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? OA. Ho P1 P2 Ha P₁ =P2 OD. Ho P1 P2 HP1 P2 Identify the test statistic. 2= (Round to two decimal places as needed.) Identify the p-value. p-value = ☐ (Round to three decimal places as needed.) OB. Ho P1 P2 Ho P₁ =P2 OE. Ho: P1 P2 Ha: P1 P2 OC. Ho P₁ =P2 Ha P1 P2 OF. Ho: P₁ =P2 Hai P₁ <P2
Transcribed Image Text: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 385 subjects taking ritonavir-boosted darunavir, 308 achieved a positive result. Of the 385 subjects taking dorovirine, 321 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 0.05. 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 p₁, 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? OA. Ho P1 P2 Ha P₁ =P2 OD. Ho P1 P2 HP1 P2 Identify the test statistic. 2= (Round to two decimal places as needed.) Identify the p-value. p-value = ☐ (Round to three decimal places as needed.) OB. Ho P1 P2 Ho P₁ =P2 OE. Ho: P1 P2 Ha: P1 P2 OC. Ho P₁ =P2 Ha P1 P2 OF. Ho: P₁ =P2 Hai P₁ <P2
Ha P1 P2 OD. Ho 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 decimal places as needed.) Ha P1 P2 OE. Ho: P1 P2 Ha P1 P2 Ha: P1 P2 OF. Ho: P1 P2 Ha: P1 P2 Since the p-value is the ritonavir-boosted darunavir group is the significance level of α = 0.05, the null hypothesis. There is the percentage from the dorovirine group. evidence to support the claim that the percentage from Analyze the results. Is dorovirine a more effective treatment for HIV-1 than ritonavir-boosted darunavir? Why or why not? OA. 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. OB. 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. OC. No, since the decision of the test was to fail to reject the null hypothesis of no difference. OD. Yes, since the decision of the test was to reject the null hypothesis of no difference.
Transcribed Image Text:Ha P1 P2 OD. Ho 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 decimal places as needed.) Ha P1 P2 OE. Ho: P1 P2 Ha P1 P2 Ha: P1 P2 OF. Ho: P1 P2 Ha: P1 P2 Since the p-value is the ritonavir-boosted darunavir group is the significance level of α = 0.05, the null hypothesis. There is the percentage from the dorovirine group. evidence to support the claim that the percentage from Analyze the results. Is dorovirine a more effective treatment for HIV-1 than ritonavir-boosted darunavir? Why or why not? OA. 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. OB. 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. OC. No, since the decision of the test was to fail to reject the null hypothesis of no difference. OD. Yes, since the decision of the test was to reject the null hypothesis of no difference.
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