Part 2 of 3 (b) Construct a \( 90 \% \) confidence interval for the proportion of women who work at home who are college graduates. Round the answer to at least three decimal places. A \( 90 \% \) confidence interval for the proportion of women who work at home who are college graduates is \( \square \) \(
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Beyond the Answer
To construct a \( 90\% \) confidence interval for the proportion of women who work at home who are college graduates, you first need the sample proportion \(\hat{p}\) and the sample size \(n\). Once you have that, the formula to compute the confidence interval is: \[ \hat{p} \pm Z \times \sqrt{\frac{\hat{p}(1 - \hat{p})}{n}} \] Where \(Z\) is the Z-score corresponding to the confidence level; for a \(90\%\) confidence level, \(Z \approx 1.645\). Now, let's say we calculated the sample proportion \(\hat{p}\) to be \(0.325\) and your sample size \(n\) was, say \(100\). Plugging in these values, you'd get: \[ 0.325 \pm 1.645 \times \sqrt{\frac{0.325(1 - 0.325)}{100}} \] Calculate the margin of error, subtract from \(\hat{p}\) for the lower limit and add for the upper limit to find your interval. Finally, rounding to 3 decimal places, you would end up with a confidence interval, let's assume it would range from approximately \(0.250\) to \(0.375\). Thus, you would fill in the blank with \(0.250\) to finalize: \(0.250 < p < 0.375\). Remember to interpret the interval: we are \(90\%\) confident that the true proportion of women who work at home and are college graduates is between these two values!
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