91Ó°ÊÓ

Population mean $\mathrm{μ}=35$

Population S.D. $\mathrm{σ}=42$

If the population variable is normal then the sample mean is also follows with mean ${\mathrm{μ}}_{\stackrel{¯}{x}}=\mathrm{μ}$and S.D ${\mathrm{σ}}_{\stackrel{¯}{X}}=\frac{\mathrm{σ}}{\sqrt{n}},n=$sample size.

Therefore,

$$\begin{gathered} {\mathrm{μ}}_{\overline{x}}=\mathrm{μ}=35 \\ {\mathrm{σ}}_{\overline{x}}=\frac{42}{\sqrt{9}} \\ =\frac{42}{3} \\ {\mathrm{σ}}_{\overline{x}}=14 \end{gathered}$$

So, the Sample mean is normally distributed with mean$35$and S.D $=14.$

In notation$\stackrel{¯}{X}~N\left(35,{14}^2\right).$

No, since the sample size is less than 30 we can not consider it as a large sample. So if the population distribution is unknown then we can not answer part (a) i.e. can not find the distribution of sample mean because we can not apply CLT here.

Yes, we can find the distribution of sample mean in case of sample size 36 . If the population distribution is unknown. Here the sample size is 36 , which is greater than 30 . We can consider it as a large sample. Hence, by using CLT we can approximate the distribution of sample mean as Normal.