We found x 0.025 = 23.337 and X 0.975 = 4.404. Recall the sample standard deviation s = 11.95, and sample size n = 13 Substitute these values to first find the lower bound for the confidence interval of the population variance, rounding the result to three decimal places. (n - 1)s2 lower bound = a /2 13 - 1)11.952 23.337 73.430 Now substitute these values to find the upper bound for the confidence interval of the population variance, rounding the result to three decimal places. (n - 1)s upper bound = X 1 - a/2 (13 - 1) 11.952 4.404 389.108 Therefore, a 95% confidence interval for the population variance for the underpricing-overpricing indicator is to