As Reza Rafie Borujeny says, you seem to be assuming independence.
If so, another approach is to say that $2(X_1+X_2+X_3+X_4)$ is normally distributed with mean $2\times (4\times 3)=24$ and variance $2^2 \times (4 \times 9) = 144 =12^2$.
The Z value is then $\dfrac{48-24}{12}=2$, not you found, and the probability should be about $0.97725$.
The error in your calculations comes from believing the variance of the average of the four $X_i$s is $9$. It is in fact $\frac94 = 2.25$ making the standard deviation $\frac32 = 1.5$. You could read about the standard error of the mean to learn more.
As Reza Rafie Borujeny says, you seem to be assuming independence.
If so, another approach is to say that $2(X_1+X_2+X_3+X_4)$ is normally distributed with mean $2\times (4\times 3)=24$ and variance $2^2 \times (4 \times 9) = 144 =12^2$.
The Z value is then $\dfrac{48-24}{12}=2$, not you found, and the probability should be about $0.97725$.
The error in your calculations comes from believing the variance of the average of the four $X_i$s is $9$. It is in fact $\frac94 = 2.25$ making the standard deviation $\frac32 = 1.5$. You could read about the standard error of the mean to learn more.
The following R code simulates this:
to give a result for the probability of about
and for the standard deviation of the average of about