c. Would a 90% confidence interval based on this sample be wider or narrower than the 95% interval? Give a reason for your answer.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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**Survey on the Importance of Protecting Rights in a Democracy**

A survey of 800 randomly selected adults in a certain country found that 82% believed that protecting the rights of those with unpopular views is a very important component of a strong democracy.

**Question for Discussion:**

**c.** Would a 90% confidence interval based on this sample be wider or narrower than the 95% interval? Give a reason for your answer.

**Detailed Explanation:** When constructing confidence intervals, there is a trade-off between the level of confidence and the width of the interval. Higher confidence levels produce wider intervals because a larger range is needed to be confident that the interval contains the true population parameter. Conversely, lower confidence levels result in narrower intervals.

In this case, a 90% confidence interval would be narrower than a 95% confidence interval. This is because the level of confidence is lower (90% compared to 95%), meaning there is less certainty that the interval contains the true proportion, hence requiring a smaller range.
Transcribed Image Text:**Survey on the Importance of Protecting Rights in a Democracy** A survey of 800 randomly selected adults in a certain country found that 82% believed that protecting the rights of those with unpopular views is a very important component of a strong democracy. **Question for Discussion:** **c.** Would a 90% confidence interval based on this sample be wider or narrower than the 95% interval? Give a reason for your answer. **Detailed Explanation:** When constructing confidence intervals, there is a trade-off between the level of confidence and the width of the interval. Higher confidence levels produce wider intervals because a larger range is needed to be confident that the interval contains the true population parameter. Conversely, lower confidence levels result in narrower intervals. In this case, a 90% confidence interval would be narrower than a 95% confidence interval. This is because the level of confidence is lower (90% compared to 95%), meaning there is less certainty that the interval contains the true proportion, hence requiring a smaller range.
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