A certain forum reported that in a survey of 2006 American adults, 24% said they believed in astrology. (a) Calculate a confidence interval at the 99% confidence level for the proportion of all adult Americans who believe in astrology. (Round your answers to three decimal places.) Interpret the resulting interval. O we are 99% confident that this interval contains the true population mean. O we are 99% confident that this interval does not contain the true population mean. O we are 99% confident that the true population mean lies above this interval. O We are 99% confident that the true population mean lies below this interval. (b) What sample size would be required for the width of a 99% CI to be at most 0.05 irrespective of the value of p? (Round your answer up to the nearest integer.)

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**Educational Text: Confidence Intervals in Statistics**

**Problem Statement:**

A certain forum reported that in a survey of 2006 American adults, 24% said they believed in astrology.

**Questions:**

(a) Calculate a confidence interval at the 99% confidence level for the proportion of all adult Americans who believe in astrology. (Round your answers to three decimal places.)

- ( [Input Box], [Input Box] )

**Interpret the resulting interval:**

- [ ] We are 99% confident that this interval contains the true population mean.
- [ ] We are 99% confident that this interval does not contain the true population mean.
- [ ] We are 99% confident that the true population mean lies above this interval.
- [x] We are 99% confident that the true population mean lies below this interval.

(b) What sample size would be required for the width of a 99% confidence interval (CI) to be at most 0.05 irrespective of the value of \( \hat{p} \)? (Round your answer up to the nearest integer.)

- [Input Box]

**Explanation:**

In part (a), you are asked to construct a confidence interval for the proportion of adults who believe in astrology. This involves statistical calculations to determine the range within which you are 99% confident the true proportion lies. The interpretation question asks you to assess which statement correctly describes the confidence interval.

The diagram provides options for interpreting the resulting interval, with the correct option already selected.

Part (b) involves determining the necessary sample size to achieve a specific confidence interval width. This relates to the precision of estimations and how sample size affects it.
Transcribed Image Text:**Educational Text: Confidence Intervals in Statistics** **Problem Statement:** A certain forum reported that in a survey of 2006 American adults, 24% said they believed in astrology. **Questions:** (a) Calculate a confidence interval at the 99% confidence level for the proportion of all adult Americans who believe in astrology. (Round your answers to three decimal places.) - ( [Input Box], [Input Box] ) **Interpret the resulting interval:** - [ ] We are 99% confident that this interval contains the true population mean. - [ ] We are 99% confident that this interval does not contain the true population mean. - [ ] We are 99% confident that the true population mean lies above this interval. - [x] We are 99% confident that the true population mean lies below this interval. (b) What sample size would be required for the width of a 99% confidence interval (CI) to be at most 0.05 irrespective of the value of \( \hat{p} \)? (Round your answer up to the nearest integer.) - [Input Box] **Explanation:** In part (a), you are asked to construct a confidence interval for the proportion of adults who believe in astrology. This involves statistical calculations to determine the range within which you are 99% confident the true proportion lies. The interpretation question asks you to assess which statement correctly describes the confidence interval. The diagram provides options for interpreting the resulting interval, with the correct option already selected. Part (b) involves determining the necessary sample size to achieve a specific confidence interval width. This relates to the precision of estimations and how sample size affects it.
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