Step 1 :The question is asking for a 99% confidence interval for the proportion of adult residents who are parents in a certain county. The sample size is 300 and 183 of them are parents.
Step 2 :To calculate a confidence interval for a proportion, we can use the formula: \(CI = \hat{p} \pm Z*\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}\) where \(\hat{p}\) is the sample proportion, \(Z\) is the Z-score corresponding to the desired confidence level (for a 99% confidence level, \(Z\) is approximately 2.576), and \(n\) is the sample size.
Step 3 :First, we need to calculate the sample proportion \(\hat{p}\), which is the number of successes (parents) divided by the sample size. Then we can substitute \(\hat{p}\), \(Z\), and \(n\) into the formula to get the confidence interval.
Step 4 :Given: \(n = 300\), \(x = 183\), \(Z = 2.576\), \(\hat{p} = 0.61\), \(se = 0.028160255680657446\), \(ci_{lower} = 0.5374591813666264\), \(ci_{upper} = 0.6825408186333736\)
Step 5 :The 99% confidence interval for the proportion of adult residents who are parents in this county is approximately \([0.537, 0.683]\). This means we are 99% confident that the true proportion of adult residents who are parents in this county is between 53.7% and 68.3%.
Step 6 :So, the final answer is \(\boxed{[0.537, 0.683]}\).