Answer:
The confidence interval is (-0.70, 0.98).this indicates that with 96% confidence, it can be defined that the value of sample of difference will be between this interval.
Explanation:
The given data is as follows:
μ1 =24.89
n1=22
[tex]\sigma_1^2 =0.0081[/tex]
μ2=25.03
n2=25
[tex]\sigma_2^2 =0.0196[/tex]
With this data the mean difference is given as
CI @ 96% is given as
[tex](x_1,x_2)=(\mu_2-\mu_1) \mp z_{\alpha}\sqrt{\frac{\sigma_1^2}{n_1}+\frac{\sigma_2^2}{n_2}}[/tex]
The values are as given above. [tex]z_{\alpha}[/tex] is 2.05 for the confidence interval 96%.
[tex](x_1,x_2)=(\mu_2-\mu_1) \mp z_{\alpha}\sqrt{\frac{\sigma_1^2}{n_1}+\frac{\sigma_2^2}{n_2}}\\(x_1,x_2)=(25.03-24.89) \mp 2.05\sqrt{\frac{0.0081}{22}+\frac{0.0196}{25}}\\(x_1,x_2)=(0.14) \mp 0.84\\(x_1,x_2)=(-0.70, 0.98)[/tex]
So The confidence interval is (-0.70, 0.98).this indicates that with 96% confidence, it can be defined that the value of sample of difference will be between this interval.