\( 1 \leftarrow \) 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, \( \mathrm{n}=933 \) and \( \mathrm{x}=571 \) who said "yes. " Use a \( 99 \% \) confidence level. a) Flick the icon to view a table of \( z \) scores. 0.612 (Round to three decimal places as needed.) b) Identify the value of the margin of error E . E= 0.041 (Round to three decimal places as needed.) c) Construct the confidence interval. \( \square
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Bonus Knowledge
To solve this problem, let's break down each part step by step. **a)** Given that the sample proportion \( p̂ = \frac{x}{n} = \frac{571}{933} \approx 0.612 \). **b)** The margin of error \( E \) is calculated with the formula: \[ E = z \times \sqrt{\frac{p̂(1 - p̂)}{n}} \] Using a \( z \) score for a \( 99\% \) confidence level, which is approximately \( 2.576 \), we substitute our values: \[ E \approx 2.576 \times \sqrt{\frac{0.612(1 - 0.612)}{933}} \approx 0.041 \] **c)** Now we can construct the confidence interval: First, we calculate the confidence interval limits: - Lower limit = \( p̂ - E \) - Upper limit = \( p̂ + E \) Substituting our values: - Lower limit = \( 0.612 - 0.041 \approx 0.571 \) - Upper limit = \( 0.612 + 0.041 \approx 0.653 \) Thus, the confidence interval is: \[ 0.571 < p < 0.653 \] So, the final answer is \( 0.571 < p < 0.653 \) (rounded to three decimal places).
