40 30- 2. A candidate for political office commissioned a poll. His staff received responses from 900 likely voters and 55% of them said they would vote for the candidate. The staff then conducted a simulation of 1000 more polls of 900 voters, assuming that 55% of voters would vote for their candidate. The output of the simulation is shown in the diagram below. 20- 10- 0 0.58 Given this output, and assuming a 95% confidence level, the margin of error for the poll is closest to 0.49 0.52 0.55 Proportion мое гла 21 (1-2) (1) 0.01 (2) 0.03 (3) 0.06 (4) 0.12 Frequency 0.6
40 30- 2. A candidate for political office commissioned a poll. His staff received responses from 900 likely voters and 55% of them said they would vote for the candidate. The staff then conducted a simulation of 1000 more polls of 900 voters, assuming that 55% of voters would vote for their candidate. The output of the simulation is shown in the diagram below. 20- 10- 0 0.58 Given this output, and assuming a 95% confidence level, the margin of error for the poll is closest to 0.49 0.52 0.55 Proportion мое гла 21 (1-2) (1) 0.01 (2) 0.03 (3) 0.06 (4) 0.12 Frequency 0.6
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Transcribed Image Text:40
30-
2. A candidate for political office commissioned a poll. His staff
received responses from 900 likely voters and 55% of them
said they would vote for the candidate. The staff then
conducted a simulation of 1000 more polls of 900 voters,
assuming that 55% of voters would vote for their candidate.
The output of the simulation is shown in the diagram below.
20
10-
0
0.49 0.52 0.55
Given this output, and assuming a 95% confidence level, the
margin of error for the poll is closest to
MOES 2 ALP
Proportion
(1) 0.01 (2) 0.03 (3) 0.06 (4) 0.12
n
Frequency
0.58
0.61
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