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 = 995 and x = 532 who said "yes." Use a 99% confidence level. Click the icon to view a table of z scores. C 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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**Using Sample Data and Confidence Levels to Estimate Population Parameters**

**Context:**
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, \( n = 995 \) and \( x = 532 \) who said "yes." Use a 99% confidence level.

[Click the icon to view a table of z scores.]

---

**Instructions and Calculations:**

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

\[ 
\text{(Round to three decimal places as needed)}
\]
[Input box]

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

\[ 
E = 
\]
\[ 
\text{(Round to three decimal places as needed)}
\]
[Input box]

**c) Construct the confidence interval.**

\[ 
< p < 
\]
\[ 
\text{(Round to three decimal places as needed)}
\]
[Left input box] - [Right input box]

**d) Write a statement that correctly interprets the confidence interval. Choose the correct answer below.**

- A. One has 99% confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion.
- B. 99% of sample proportions will fall between the lower bound and the upper bound.
- C. There is a 99% chance that the true value of the population proportion will fall between the lower bound and the upper bound.
- D. One has 99% confidence that the sample proportion is equal to the population proportion.

[Option A is selected]

---

**Explanation of Concepts in the Example:**
- **Point Estimate:** This is the best single estimate of the population proportion, calculated as \( \hat{p} = \frac{x}{n} \).
- **Margin of Error (E):** This value determines the range around the point estimate in which the true population proportion is likely to lie.
- **Confidence Interval:** This interval (between lower and upper bounds) provides a range of values which, with a certain level of confidence (in this case, 99%), contains the true population proportion.
- **Interpretation of Confidence Interval:** Understanding what the confidence interval means helps in making informed conclusions about the population based on sample data. 

Use this process to estimate population parameters
Transcribed Image Text:**Using Sample Data and Confidence Levels to Estimate Population Parameters** **Context:** 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, \( n = 995 \) and \( x = 532 \) who said "yes." Use a 99% confidence level. [Click the icon to view a table of z scores.] --- **Instructions and Calculations:** **a) Find the best point estimate of the population proportion \( p \).** \[ \text{(Round to three decimal places as needed)} \] [Input box] **b) Identify the value of the margin of error \( E \).** \[ E = \] \[ \text{(Round to three decimal places as needed)} \] [Input box] **c) Construct the confidence interval.** \[ < p < \] \[ \text{(Round to three decimal places as needed)} \] [Left input box] - [Right input box] **d) Write a statement that correctly interprets the confidence interval. Choose the correct answer below.** - A. One has 99% confidence that the interval from the lower bound to the upper bound actually does contain the true value of the population proportion. - B. 99% of sample proportions will fall between the lower bound and the upper bound. - C. There is a 99% chance that the true value of the population proportion will fall between the lower bound and the upper bound. - D. One has 99% confidence that the sample proportion is equal to the population proportion. [Option A is selected] --- **Explanation of Concepts in the Example:** - **Point Estimate:** This is the best single estimate of the population proportion, calculated as \( \hat{p} = \frac{x}{n} \). - **Margin of Error (E):** This value determines the range around the point estimate in which the true population proportion is likely to lie. - **Confidence Interval:** This interval (between lower and upper bounds) provides a range of values which, with a certain level of confidence (in this case, 99%), contains the true population proportion. - **Interpretation of Confidence Interval:** Understanding what the confidence interval means helps in making informed conclusions about the population based on sample data. Use this process to estimate population parameters
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