Step 1 :Given values are: sample mean \(x_{bar} = 8.56\), standard deviation \(s = 0.06\), sample size \(n = 15\), and Z-score for 92% confidence level \(Z = 1.75\).
Step 2 :Calculate the margin of error using the formula: \(Z \times \frac{s}{\sqrt{n}}\).
Step 3 :Substitute the given values into the formula to get the margin of error: \(1.75 \times \frac{0.06}{\sqrt{15}} = 0.027110883423451915\).
Step 4 :Calculate the confidence interval using the formula: \(x_{bar} \pm\) margin of error.
Step 5 :Substitute the values into the formula to get the confidence interval: \(8.56 - 0.027110883423451915 = 8.532889116576548\) and \(8.56 + 0.027110883423451915 = 8.587110883423453\).
Step 6 :The 92% confidence interval is \((8.532889116576548, 8.587110883423453)\), which can be approximated to \((8.533, 8.587)\).
Step 7 :Comparing the calculated confidence interval with the given options, it is closest to the option \((8.531,8.589)\).
Step 8 :Final Answer: The 92% confidence interval is \(\boxed{(8.531,8.589)}\).