Answer: [tex]31.28\leq\sigma^2\leq99.29[/tex]
Step-by-step explanation:
Confidence interval formula for population variance :-
[tex]\dfrac{(n-1)s^2}{\chi^2_{\alpha/2}}\leq \sigma^2\leq\dfrac{(n-1)s^2}{\chi^2_{1-\alpha/2}}[/tex]
Given : [tex]s^2 = 51.3[/tex] and [tex]n= 25[/tex]
Significance level : [tex]\alpha=0.05[/tex]
Using chi-square distribution, the Critical values are:
[tex]\chi^2_{n-1, \alpha/2}=\chi^2_{24,0.025}=39.36[/tex]
[tex]\chi^2_{n-1, 1-\alpha/2}=\chi^2_{24,0.025}=12.40[/tex]
Then, the confidence interval for population variance is given by :-
[tex]\dfrac{(24)( 51.3)}{39.36}\leq \sigma^2\leq\dfrac{(24)( 51.3)}{12.40}\\\\\approx31.28\leq\sigma^2\leq99.29[/tex]
Hence, the 95% confidence interval for the population variance :
[tex]31.28\leq\sigma^2\leq99.29[/tex]