Answer:

Explanation:
Given : sample size : n= 51
sample standard deviation : s= 0.46
Significance level :

Using chi-square distribution, the critical values will be :


Confidence interval for population standard deviation (
) :

Substitute all the values , we get

Hence, the 95% two-sided confidence interval for σ :
