In a survey of 400 likely voters, 216 responded that they would vote for the incumbent and 184 responded that they would vote for the challenger. Let p denote the fraction of all likely voters who preferred the incumbent at the time of the se and let p be the fraction of survey respondents who preferred the incumbent. Using the survey resuits, the estimated value of p is (Round your response to four decimal places.) Using p(1- p/n as the estimator of the variance of p, the standard error of the estimator is (Round your response to four decimal places.) The p-value for the test H,: p=0.5 versus H: p#0.5 is (Round your response to three decimal places.) The p-value for the test H,: p=0.5 versus H,: p>0.5 is (Round your response to three decimal places.). Why do the p-values for H,: p=0.5 versus H: p#0.5 and H,: p=0.5 versus H,: p>0.5 differ? O A. H,: p=0.5 versus H: p> 0.5 is a one-sided test and the p-value is the area under the standard normal distribution to the left of the calculated t-statistic. O B. H, p=0.5 versus H,: p>0.5 is a two-sided test and the p-value is the area in the tails of the standard normal distribution outside + the calculated t-statistic. O C. H. D=05 versus H. ot05 is a one-sided test and the p-value is the area under the standard normal dietcbution to the doht of the calculated t-statistic

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In a survey of 400 likely voters, 216 responded that they would vote for the incumbent and 184 responded that they would vote for the challenger. Let p denote the fraction of all likely voters who preferred the incumbent at the time of the survey,
and let p be the fraction of survey respondents who preferred the incumbent.
Using the survey results, the estimated value of p is
(Round your response to four decimal places.)
Using p(1- p)/n as the estimator of the variance of p, the standard error of the estimator is
(Round your response to four decimal places.)
The p-value for the test Ho: p= 0.5 versus H1: p#0.5 is
(Round your response to three decimal places.)
The p-value for the test H,: p= 0.5 versus H1: p> 0.5 is
(Round your response to three decimal places.).
Why do the p-values for H,: p= 0.5 versus H1: p#0.5 and Ho: p= 0.5 versus H,: p>0.5 differ?
A. H: p= 0.5 versus H4: p>0.5 is a one-sided test and the p-value is the area under the standard normal distribution to the left of the calculated t-statistic.
B. Ho: p=0.5 versus H: p>0.5 is a two-sided test and the p-value is the area in the tails of the standard normal distribution outside ± the calculated t-statistic.
O C. Ho: p=0.5 versus H1: p#0.5 is a one-sided test and the p-value is the area under the standard normal distribution to the right of the calculated t-statistic.
O D. H,: p=0.5 versus H4: p#0.5 is a two-sided test and the p-value is the area in the tails of the standard normal distribution outside + the calculated t-statistic.
Did the survey contain statistically significant evidence that the incumbent was ahead of the challenger at the time of the survey?
O A. For the test H,: p= 0.5 versus H1: p> 0.5, we can reject the null hypothesis at the 5% significance level. The p-value is less than 0.05. The test suggests that the survey contained statistically significant evidence that the incumbent was
ahead of the challenger at the time of the survey.
O B. For the test Ho:p=0.5 versus H: p#0.5, we can reject the null hypothesis at the 5% significance level. The p-value is less than 0.05. The test suggests that the survey contained statistically significant evidence that the incumbent was
ahead of the challenger at the time of the survey.
O C. For the test H,: p= 0.5 versus H1: p#0.5, we cannot reject the null hypothesis at the 5% significance level. The p-value is larger than 0.05. The test suggests that the survey did not contain statistically significant evidence that the
incumbent was ahead of the challenger at the time of the survey.
O D. For the test Ho:p=0.5 versus Hq:p>0.5, we cannot reject the null hypothesis at the 5% significance level. The p-value is larger than 0.05. The test suggests that the survey did not contain statistically significant evidence that the
incumbent was ahead of the challenger at the time of the survey.
Click to select your answer(s).
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Transcribed Image Text:In a survey of 400 likely voters, 216 responded that they would vote for the incumbent and 184 responded that they would vote for the challenger. Let p denote the fraction of all likely voters who preferred the incumbent at the time of the survey, and let p be the fraction of survey respondents who preferred the incumbent. Using the survey results, the estimated value of p is (Round your response to four decimal places.) Using p(1- p)/n as the estimator of the variance of p, the standard error of the estimator is (Round your response to four decimal places.) The p-value for the test Ho: p= 0.5 versus H1: p#0.5 is (Round your response to three decimal places.) The p-value for the test H,: p= 0.5 versus H1: p> 0.5 is (Round your response to three decimal places.). Why do the p-values for H,: p= 0.5 versus H1: p#0.5 and Ho: p= 0.5 versus H,: p>0.5 differ? A. H: p= 0.5 versus H4: p>0.5 is a one-sided test and the p-value is the area under the standard normal distribution to the left of the calculated t-statistic. B. Ho: p=0.5 versus H: p>0.5 is a two-sided test and the p-value is the area in the tails of the standard normal distribution outside ± the calculated t-statistic. O C. Ho: p=0.5 versus H1: p#0.5 is a one-sided test and the p-value is the area under the standard normal distribution to the right of the calculated t-statistic. O D. H,: p=0.5 versus H4: p#0.5 is a two-sided test and the p-value is the area in the tails of the standard normal distribution outside + the calculated t-statistic. Did the survey contain statistically significant evidence that the incumbent was ahead of the challenger at the time of the survey? O A. For the test H,: p= 0.5 versus H1: p> 0.5, we can reject the null hypothesis at the 5% significance level. The p-value is less than 0.05. The test suggests that the survey contained statistically significant evidence that the incumbent was ahead of the challenger at the time of the survey. O B. For the test Ho:p=0.5 versus H: p#0.5, we can reject the null hypothesis at the 5% significance level. The p-value is less than 0.05. The test suggests that the survey contained statistically significant evidence that the incumbent was ahead of the challenger at the time of the survey. O C. For the test H,: p= 0.5 versus H1: p#0.5, we cannot reject the null hypothesis at the 5% significance level. The p-value is larger than 0.05. The test suggests that the survey did not contain statistically significant evidence that the incumbent was ahead of the challenger at the time of the survey. O D. For the test Ho:p=0.5 versus Hq:p>0.5, we cannot reject the null hypothesis at the 5% significance level. The p-value is larger than 0.05. The test suggests that the survey did not contain statistically significant evidence that the incumbent was ahead of the challenger at the time of the survey. Click to select your answer(s). Spreadsheet O Time Remaining: 00:28:39 Next 吕0 F3 esc F1 F2 O00 F4 F5 F6 F7 F8 F9 F10 F11 F12 ! @ $ 4 & * 2 6 7 8 delete Q E R T Y U { } tab enter A S F G H J K L caps lock return + || # 3
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