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StatisticsQ&A LibraryPerception and Reality In a presidential election, 308 out of 611 voters surveyed said that they voted for the candidate who won (based on data from ICR Survey Research Group). Use a 0.05 significance level to test the claim that among all voters, the percentage who believe that they voted for the winning candidate is equal to 43%, which is the actual percentage of votes for the winning candidate. What does the result suggest about voter perceptions?Question

Asked Jan 25, 2020

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Perception and Reality In a presidential election, 308 out of 611 voters surveyed said that they voted for the candidate who won (based on data from ICR Survey Research Group). Use a 0.05 significance level to test the claim that among all voters, the percentage who believe that they voted for the winning candidate is equal to 43%, which is the actual percentage of votes for the winning candidate. What does the result suggest about voter perceptions?

Step 1

In a presidential election, 308 out of 611 voters surveyed said that they voted for the candidate who won. The significance level is 0.05 and the claim to test the percentage who believes that they voted for the winning candidate is equal to 43%.

The hypotheses are given below:

Step 2

The sample proportion, *p-cap* is calculated below.

Step 3

The test statistic is given and...

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