Question
A little more practice with confidence intervals…
A January 2019 Rasmussen Reports poll asked a random sample of 1000 likely U.S. voters if they believe social media such
Facebook and Twitter make the U.S. a more or less divided nation. Of these likely voters, 650 said they believe social media
makes the U.S. a more divided nation.
Find a 95% confidence interval for the proportion of all likely U.S. voters who believe social media such as Facebook and
Twitter make the U.S. a more divided nation.
Report your answer as an interval in the form (lower bound, upper bound) rounded to three decimal places.
A January 2019 Rasmussen Reports poll asked a random sample of 1000 likely U.S. voters if they believe social media such
Facebook and Twitter make the U.S. a more or less divided nation. Of these likely voters, 650 said they believe social media
makes the U.S. a more divided nation.
Find a 95% confidence interval for the proportion of all likely U.S. voters who believe social media such as Facebook and
Twitter make the U.S. a more divided nation.
Report your answer as an interval in the form (lower bound, upper bound) rounded to three decimal places.
Ask by Carroll Mejia. in the United States
Nov 30,2024
Upstudy AI Solution
Tutor-Verified Answer
Answer
The 95% confidence interval is (0.620, 0.680).
Solution

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Bonus Knowledge
To calculate the 95% confidence interval for the proportion of all likely U.S. voters who believe social media makes the U.S. a more divided nation, we first need to determine the sample proportion (p̂) and the standard error (SE).
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Sample Proportion (p̂): This is the number of voters who believe social media makes the U.S. divided divided by the total sample size.
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Standard Error (SE): This can be calculated using the formula:
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Critical Value (Z): For a 95% confidence level, the Z-score is approximately 1.96.
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Margin of Error (ME): This is calculated as:
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Confidence Interval: Finally, the confidence interval can be calculated as:
So, rounding to three decimal places, the 95% confidence interval is:
(0.620, 0.680)