Answer:
The 98% confidence interval for the mean is (8.84, 18.96).
Explanation:
We have to calculate a 98% confidence interval for the mean.
The sample 1, of size n1=11 has a mean of 77.5 and a standard deviation of 4.5.
The sample 1, of size n1=9 has a mean of 63.6 and a standard deviation of 5.1.
The difference between sample means is Md=.

The estimated standard error of the difference between means is computed using the formula:

The t-value for a 98% confidence interval is t=2.326.
The margin of error (MOE) can be calculated as:

Then, the lower and upper bounds of the confidence interval are:

The 98% confidence interval for the mean is (8.84, 18.96).