Use the sample data and confidence level given below to complete parts (a) through (d). A research institute poll asked respondents if they felt vulnerable to identity theft. In the poll, n= 1048 and x = 568 who said "yes." Use a 95% confidence level. E Click the icon to view a table of z scores. a) Find the best point estimate of the population proportion p. 0.542 (Round to three decimal places as needed.) b) Identify the value of the margin of error E. E= 0.030 (Round to three decimal places as needed.) c) Construct the confidence interval. 0.512

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Please answer only part "D"

### Confidence Interval Analysis: Population Proportion

**Objective:** Use sample data and a specified confidence level to determine and interpret the confidence interval for a population proportion.

**Scenario:**
A research institute conducted a poll asking respondents if they felt vulnerable to identity theft. In the poll, 
- \( n = 1048 \) respondents 
- \( x = 568 \) respondents said "yes."
- Use a 95% confidence level.

**Steps:**

1. **Find the best point estimate of the population proportion \( p \).**
   
   \[
   \hat{p} = \frac{x}{n} = \frac{568}{1048} = 0.542
   \]
   *(Round to three decimal places as needed.)*
   
2. **Identify the value of the margin of error \( E \).**
   - Given: \( E = 0.030 \)
   \[
   E = 0.030
   \]
   *(Round to three decimal places as needed.)*

3. **Construct the confidence interval.**
   
   \[
   \hat{p} - E < p < \hat{p} + E
   \]
   \[
   0.542 - 0.030 < p < 0.542 + 0.030
   \]
   \[
   0.512 < p < 0.572
   \]
   *(Round to three decimal places as needed.)*

4. **Write a statement that correctly interprets the confidence interval.**
   \[
   \text{Choose the correct answer from the options below:}
   \]
   - **A:** One has 95% confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion.
   - **B:** There is a 95% chance that the true value of the population proportion will fall between the lower bound and the upper bound.
   - **C:** One has 95% confidence that the sample proportion is equal to the population proportion.
   - **D:** 95% of sample proportions will fall between the lower bound and the upper bound.
   
   The correct answer is **A**, which accurately reflects the concept of confidence intervals in statistics.

This analysis helps quantify the uncertainty around the point estimate of the population proportion, providing a range within which the true population proportion is likely to fall with a specified
Transcribed Image Text:### Confidence Interval Analysis: Population Proportion **Objective:** Use sample data and a specified confidence level to determine and interpret the confidence interval for a population proportion. **Scenario:** A research institute conducted a poll asking respondents if they felt vulnerable to identity theft. In the poll, - \( n = 1048 \) respondents - \( x = 568 \) respondents said "yes." - Use a 95% confidence level. **Steps:** 1. **Find the best point estimate of the population proportion \( p \).** \[ \hat{p} = \frac{x}{n} = \frac{568}{1048} = 0.542 \] *(Round to three decimal places as needed.)* 2. **Identify the value of the margin of error \( E \).** - Given: \( E = 0.030 \) \[ E = 0.030 \] *(Round to three decimal places as needed.)* 3. **Construct the confidence interval.** \[ \hat{p} - E < p < \hat{p} + E \] \[ 0.542 - 0.030 < p < 0.542 + 0.030 \] \[ 0.512 < p < 0.572 \] *(Round to three decimal places as needed.)* 4. **Write a statement that correctly interprets the confidence interval.** \[ \text{Choose the correct answer from the options below:} \] - **A:** One has 95% confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion. - **B:** There is a 95% chance that the true value of the population proportion will fall between the lower bound and the upper bound. - **C:** One has 95% confidence that the sample proportion is equal to the population proportion. - **D:** 95% of sample proportions will fall between the lower bound and the upper bound. The correct answer is **A**, which accurately reflects the concept of confidence intervals in statistics. This analysis helps quantify the uncertainty around the point estimate of the population proportion, providing a range within which the true population proportion is likely to fall with a specified
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