Mean $(\bar{x})=10$

$ \Rightarrow \frac{\Sigma \mathrm{x}_{\mathrm{i}}}{20}=10 $

$ \Sigma \mathrm{x}_{\mathrm{i}}=10 \times 20=200$

If $8$ is replaced by $12$ , then $\Sigma x_1=200-8+12=204$

$\therefore$ Correct mean $(\overline{\mathrm{x}})=\frac{\Sigma \mathrm{x}_{\mathrm{i}}}{20}$

$=\frac{204}{20}=10.2$

$ \because$ Standard deviation $=2$

$ \therefore$ Variance $=( S.D.)^2=2^2=4 $

$ \Rightarrow \frac{\Sigma \mathrm{x}_{\mathrm{i}}^2}{20}-\left(\frac{\Sigma \mathrm{x}_{\mathrm{i}}}{20}\right)^2=4 $

$ \Rightarrow \frac{\Sigma \mathrm{x}_{\mathrm{i}}^2}{20}-(10)^2=4 $

$ \Rightarrow \frac{\Sigma \mathrm{x}_{\mathrm{i}}^2}{20}=104 $

$ \Rightarrow \Sigma \mathrm{x}_{\mathrm{i}}^2=2080$

Now, replaced $'8'$ observations by $'12'$

$\text { Then, } \Sigma \mathrm{x}_{\mathrm{i}}^2=2080-8^2+12^2=2160$

$\therefore$ Variance of removing observations

$ \Rightarrow \frac{\Sigma x_i^2}{20}-\left(\frac{\Sigma x_i}{20}\right)^2 $

$ \Rightarrow \frac{2160}{20}-(10.2)^2 $

$ \Rightarrow 108-104.04 $

$ \Rightarrow 3.96$

Correct standard deviation

$=\sqrt{3.96}$