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Political pundits talk about the "bounce" that a presidential candidate gets after his party's convention. In the past 40 years, it has averaged about 6 percentage points Just before a recent convention, a random poll of 1500 likely voters found that 53% favored a particular candidate. Just afterward, another random sample of 1500 likely voters found that 56% favored that candidate. That's a three percentage point increase, but the pollsters claimed that there was no bounce. Explain. Let population 1 correspond to likely voters that favored the candidate after the convention and population 2 correspond to likely voters that favored the candidate before the convention. Find and interpret the 95% confidence interval for the difference between the percentages of likely voters that favored the candidate (population 1-population 2). Select the correct answer below and fill in the answer boxes within your choice. (Use ascending order. Round to one decimal place as needed.) O A. Since the 95% confidence interval %, %) contains 0%, it is plausible that the bounce is zero. The pollsters' claim that there was no bounce may be correct. OB. Since the 95% confidence interval %, %) does not contain 0%, it is plausible that the bounce is zero. The pollsters should have instead claimed that there was no evidence of a bounce. OC. Since the 95% confidence interval ( %. %) does not contain 0%, it is not plausible that the bounce is zero. The pollsters should have instead claimed that there was sufficient evidence of a bounce.

Political pundits talk about the "bounce" that a presidential candidate gets after his party's convention. In the past 40 years, it has averaged about 6 percentage points Just before a recent convention, a random poll of 1500 likely voters found that 53% favored a particular candidate. Just afterward, another random sample of 1500 likely voters found that 56% favored that candidate. That's a three percentage point increase, but the pollsters claimed that there was no bounce. Explain. Let population 1 correspond to likely voters that favored the candidate after the convention and population 2 correspond to likely voters that favored the candidate before the convention. Find and interpret the 95% confidence interval for the difference between the percentages of likely voters that favored the candidate (population 1-population 2). Select the correct answer below and fill in the answer boxes within your choice. (Use ascending order. Round to one decimal place as needed.) O A. Since the 95% confidence interval %, %) contains 0%, it is plausible that the bounce is zero. The pollsters' claim that there was no bounce may be correct. OB. Since the 95% confidence interval %, %) does not contain 0%, it is plausible that the bounce is zero. The pollsters should have instead claimed that there was no evidence of a bounce. OC. Since the 95% confidence interval ( %. %) does not contain 0%, it is not plausible that the bounce is zero. The pollsters should have instead claimed that there was sufficient evidence of a bounce.

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
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Political pundits talk about the "bounce" that a presidential candidate gets after his party's convention. In the past 40 years, it has averaged about 6 percentage points. Just before a recent convention, a random poll of 1500 likely voters found that 53% favored a particular candidate. Just afterward, another random sample of 1500 likely voters found that 56% favored that candidate. That's a three percentage point increase, but the pollsters claimed that there was no bounce. Explain. Let population 1 correspond to likely voters that favored the candidate after the convention and population 2 correspond to likely voters that favored the candidate before the convention. Find and interpret the 95% confidence interval for the difference between the percentages of likely voters that favored the candidate (population 1-population 2). Select the correct answer below and fill in the answer boxes within your choice. (Use ascending order. Round to one decimal place as needed.) O A. Since the 95% confidence interval ( %, %) contains 0%, it is plausible that the bounce is zero. The pollsters' claim that there was no bounce may be correct. O B. Since the 95% confidence interval %, %) does not contain 0%, it is plausible that the bounce is zero. The pollsters should have instead claimed that there was no evidence of a bounce. OC. Since the 95% confidence interval %, %) does not contain 0%, it is not plausible that the bounce is zero. The pollsters should have instead claimed that there was sufficient evidence of a bounce.
Transcribed Image Text:Political pundits talk about the "bounce" that a presidential candidate gets after his party's convention. In the past 40 years, it has averaged about 6 percentage points. Just before a recent convention, a random poll of 1500 likely voters found that 53% favored a particular candidate. Just afterward, another random sample of 1500 likely voters found that 56% favored that candidate. That's a three percentage point increase, but the pollsters claimed that there was no bounce. Explain. Let population 1 correspond to likely voters that favored the candidate after the convention and population 2 correspond to likely voters that favored the candidate before the convention. Find and interpret the 95% confidence interval for the difference between the percentages of likely voters that favored the candidate (population 1-population 2). Select the correct answer below and fill in the answer boxes within your choice. (Use ascending order. Round to one decimal place as needed.) O A. Since the 95% confidence interval ( %, %) contains 0%, it is plausible that the bounce is zero. The pollsters' claim that there was no bounce may be correct. O B. Since the 95% confidence interval %, %) does not contain 0%, it is plausible that the bounce is zero. The pollsters should have instead claimed that there was no evidence of a bounce. OC. Since the 95% confidence interval %, %) does not contain 0%, it is not plausible that the bounce is zero. The pollsters should have instead claimed that there was sufficient evidence of a bounce.
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