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 = 948 and x = 538 who said "yes." Use a 90% confidence level. E Click the icon to view a table of z scores. a) Find the best point estimate of the population proportion p. (Round to three decimal places as needed.) b) Identify the value of the margin of error E. E = (Round to three decimal places as needed.) c) Construct the confidence interval.

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### Confidence Interval and Point Estimate for Population Proportion

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, \( n = 948 \) and \( x = 538 \) who said "yes." Use a 90% confidence level.

#### Steps to Solve:

1. **Click the icon to view a table of z scores.** (A table of z scores is typically provided in statistics textbooks and online resources to help determine the critical value for the confidence interval.)

#### a) Find the best point estimate of the population proportion \( p \).

\[ \text{Point Estimate} = \frac{x}{n} \]

\[ \boxed{} \]

*(Round to three decimal places as needed.)*

#### b) Identify the value of the margin of error \( E \).

\[ E = z \times \sqrt{\frac{p(1 - p)}{n}} \]

\[ \text{Where:} \]
- \( z \) is the critical value for the 90% confidence level
- \( p \) is the sample proportion calculated in part (a)

\[ E = \boxed{} \]

*(Round to three decimal places as needed.)*

#### c) Construct the confidence interval.

\[ p - E < p < p + E \]

\[ \boxed{} < p < \boxed{} \]

*(Round to three decimal places as needed.)*

---

This page guides you through the calculations necessary to find the best point estimate, margin of error, and confidence interval for the population proportion based on a given sample data set and confidence level.
Transcribed Image Text:### Confidence Interval and Point Estimate for Population Proportion 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, \( n = 948 \) and \( x = 538 \) who said "yes." Use a 90% confidence level. #### Steps to Solve: 1. **Click the icon to view a table of z scores.** (A table of z scores is typically provided in statistics textbooks and online resources to help determine the critical value for the confidence interval.) #### a) Find the best point estimate of the population proportion \( p \). \[ \text{Point Estimate} = \frac{x}{n} \] \[ \boxed{} \] *(Round to three decimal places as needed.)* #### b) Identify the value of the margin of error \( E \). \[ E = z \times \sqrt{\frac{p(1 - p)}{n}} \] \[ \text{Where:} \] - \( z \) is the critical value for the 90% confidence level - \( p \) is the sample proportion calculated in part (a) \[ E = \boxed{} \] *(Round to three decimal places as needed.)* #### c) Construct the confidence interval. \[ p - E < p < p + E \] \[ \boxed{} < p < \boxed{} \] *(Round to three decimal places as needed.)* --- This page guides you through the calculations necessary to find the best point estimate, margin of error, and confidence interval for the population proportion based on a given sample data set and confidence level.
**Interpreting Confidence Intervals**

**Question:**
Write a statement that correctly interprets the confidence interval. Choose the correct answer below.

**Options:**
A. One has 90% confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion.

B. 90% of sample proportions will fall between the lower bound and the upper bound.

C. There is a 90% chance that the true value of the population proportion will fall between the lower bound and the upper bound.

D. One has 90% confidence that the sample proportion is equal to the population proportion.
Transcribed Image Text:**Interpreting Confidence Intervals** **Question:** Write a statement that correctly interprets the confidence interval. Choose the correct answer below. **Options:** A. One has 90% confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion. B. 90% of sample proportions will fall between the lower bound and the upper bound. C. There is a 90% chance that the true value of the population proportion will fall between the lower bound and the upper bound. D. One has 90% confidence that the sample proportion is equal to the population proportion.
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