Answer: c) 91.68 < μ < 98.32
Step-by-step explanation:
Let μ be the mean score of all students.
Let [tex]\overline{x}[/tex] represents the sample mean score.
As per given , we have
Sample size : n= 30
Sample mean : [tex]\overline{x}=95[/tex]
Sample standard deviation: [tex]s=6.6[/tex]
Significance level [tex]\alpha=0.01[/tex]
Now, Confidence interval of mean when population standard deviation is unknown is given by :-
[tex]\overline{x}\pm t_{\alpha/2, df}\dfrac{s}{\sqrt{n}}[/tex]
Degree of freedom = n-1 = 29
Critical two-tailed t-value : [tex]t_{0.01/2,29}=t_{0.005,29}=2.756[/tex] [By students' t distribution table]
Confidence interval of mean will be:
[tex]95\pm (2.756)\dfrac{6.6}{\sqrt{30}}\\\\=95\pm (2.756)\dfrac{6.6}{5.47722557}\\\\=95\pm (2.756)(1.205)\\\\=95\pm 3.32\\\\= (95-3.32, 95+3.32)\\\\=(91.68,\ 98.32)[/tex]
i.e. a 99% confidence interval for the mean score of all students : 91.68 < μ < 98.32
So correct option is c) .