12. Political Science, Inc. (PSI) specializes in voter polls and surveys designed to keep political office seekers informed of their position in a race. Using telephone surveys, interviewers ask registered voters who they would vote for if the election were held that day. Experts provide a best guess estimate that 44% of voters prefer the candidate. Suppose that PSI would like 99% confidence that the sample proportion is within + .03 of the population proportion. What sample size is needed to provide the desired margin of error? 1817 587 102 1012
12. Political Science, Inc. (PSI) specializes in voter polls and surveys designed to keep political office seekers informed of their position in a race. Using telephone surveys, interviewers ask registered voters who they would vote for if the election were held that day. Experts provide a best guess estimate that 44% of voters prefer the candidate. Suppose that PSI would like 99% confidence that the sample proportion is within + .03 of the population proportion. What sample size is needed to provide the desired margin of error? 1817 587 102 1012
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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Transcribed Image Text:**Question:**
Political Science, Inc. (PSI) specializes in voter polls and surveys designed to keep political office seekers informed of their position in a race. Using telephone surveys, interviewers ask registered voters who they would vote for if the election were held that day. Experts provide a best guess estimate that 44% of voters prefer the candidate. Suppose that PSI would like 99% confidence that the sample proportion is within ± 0.03 of the population proportion. What sample size is needed to provide the desired margin of error?
**Options:**
- 1817
- 587
- 102
- 1012
**Explanation:**
This question involves determining the appropriate sample size for a survey to achieve a specified margin of error and confidence level. The goal is to calculate the sample size needed for the sample proportion to be within a ± 0.03 margin of error, with 99% confidence, given an estimated population proportion of 44%. The answer choices provided are potential sample sizes.
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