Answer: (40.33, 43.67)
Explanation:
Given : Sample size : n= 15<30 , which is a small sample so we use t-test.
Sample mean :

Standard deviation :

Significance level :

Critical value :

The confidence interval for population mean is given by :-

Hence, the 95% confidence level. interval for the population mean is (40.33, 43.67).