A political candidate feels that she performed particularly well in the most recent debate against her opponent. Her campaign manager polled a random sample of 400 likely voters before the debate and a random sample of 500 likely voters after the debate. The 95% confidence interval for the true difference (post-debate minus pre-debate) in proportions of likely voters who would vote for this candidate was (-0.014, 0.064). What is the margin of error for this confidence interval? 0.064 + (-0.014) 2 = 0.025 0.064 - (-0.014) = 0.039 2 0.064 + (-0.014) = 0.050 O 0.064 – (-0.014) = 0.078

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A political candidate feels that she performed particularly well in the most recent debate against her opponent. Her
campaign manager polled a random sample of 400 likely voters before the debate and a random sample of 500
likely voters after the debate. The 95% confidence interval for the true difference (post-debate minus pre-debate) in
proportions of likely voters who would vote for this candidate was (-0.014, 0.064). What is the margin of error for
this confidence interval?
0.064 + (-0.014)
2
= 0.025
0.064 - (-0.014)
= 0.039
2
0.064 + (-0.014) = 0.050
O 0.064 – (-0.014) = 0.078
Transcribed Image Text:A political candidate feels that she performed particularly well in the most recent debate against her opponent. Her campaign manager polled a random sample of 400 likely voters before the debate and a random sample of 500 likely voters after the debate. The 95% confidence interval for the true difference (post-debate minus pre-debate) in proportions of likely voters who would vote for this candidate was (-0.014, 0.064). What is the margin of error for this confidence interval? 0.064 + (-0.014) 2 = 0.025 0.064 - (-0.014) = 0.039 2 0.064 + (-0.014) = 0.050 O 0.064 – (-0.014) = 0.078
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