For a standard normally distributed random variable Z (with mean 0 and standard deviation 1), we get a probability of 0.0625 for a z-score of Z ≈ 1.53, since
P(Z ≥ 1.53) ≈ 0.9375
You can transform any normally distributed variable Y to Z using the relation
Z = (Y - µ) / σ
where µ and σ are the mean and standard deviation of Y, respectively.
So if s is the standard deviation of X, then
(250 - 234) / s ≈ 1.53
Solve for s :
16/s ≈ 1.53
s ≈ 10.43