Answer: (14.18, 15.08)
Explanation:
Given : Sample size : n= 64
Sample mean :

Standard deviation :

Significance level :

Critical value :

The confidence interval for population mean is given by :-

Hence, the 90% confidence interval for the population mean of waiting times is (14.18, 15.08).