You calculated $z=\dfrac{0.5-0.4}{\left(\frac{0.4(1-0.4)}{48}\right)^{1/2}} =1.414213562$
You would have got the same value with $\dfrac{24-48\times 0.4}{\left(48 \times 0.4\times (1-0.4)\right)^{1/2}} $
If you look this up in your normal cumulative distribution function table, it might give you something like $\Pr(Z \le z) = \Phi(z) = 0.9213505$ and so $\Pr(Z \gt z)= 0.07864954$ and this might be what you are looking for as an answer.
Since you are using a normal approximation to a discrete random variable, you might do better with a continuity correction, which could involve starting by calculating $\dfrac{23.5-48\times 0.4}{\left(48 \times 0.4\times (1-0.4)\right)^{1/2}}$ and thus instead coming up with a probability of about $0.1025956$ instead.
As an aside, the actual probability is about $0.1033814$ found using the R code
1 - pbinom(23, 48, 0.4)
so the continuity correction is quite helpful in getting you close.