Step 1 :To construct a 99% confidence interval for the mean score of all students, the formula is \( \text{CI} = \bar{x} \pm z \times \left(\frac{s}{\sqrt{n}}\right) \), where \( \bar{x} \) is the sample mean, \( z \) is the z-score corresponding to the confidence level, \( s \) is the sample standard deviation, and \( n \) is the sample size.
Step 2 :The sample mean \( \bar{x} \) is 81, the sample standard deviation \( s \) is 9.3, and the sample size \( n \) is 30.
Step 3 :For a 99% confidence level, the z-score \( z \) is approximately 2.576.
Step 4 :The margin of error \( E \) is calculated as \( E = z \times \frac{s}{\sqrt{n}} \).
Step 5 :Substituting the known values gives \( E = 2.576 \times \frac{9.3}{\sqrt{30}} \approx 4.37 \).
Step 6 :The confidence interval is then \( \text{CI} = 81 \pm 4.37 \).
Step 7 :Calculating the lower and upper bounds gives \( 81 - 4.37 = 76.63 \) and \( 81 + 4.37 = 85.37 \).
Step 8 :The confidence interval is \( (76.63, 85.37) \).
Step 9 :Rounding to two decimal places, the confidence interval is \( (76.63, 85.37) \).
Step 10 :Comparing with the given options, the closest is \( 76.32 \text{ to } 85.68 \) when rounded.
Step 11 :The correct confidence interval is \(\boxed{76.63 \text{ to } 85.37}\).