m = 54.8 inches
std = 4.9 inches
We can standarize the variable as:
(X - m)/std
So, the probability of a height randomly choosen is between 51.05 and 54.75 inches is:
P[ 51.05 < X < 54.75]
Standarizing those values:
(51.05 - m)/std = (51.05 - 54.8)/4.9 = -75/98...
(54.75 - m)/std = (51.05 - 54.8)/4.9 = -1/98...
So, the new probability is:
P[ -75/98 < Z < -1/98] = Phi(-1/98) - Phi(-75/98)
Where Z is the new standarized variable.
We can find these Phi values from tables of the standarized normal distributions:
Phi(-1/98) = 0.77796
Phi(-75/98) = 0.49593
So the probability is:
P[ -75/98 < Z < -1/98] = Phi(-1/98) - Phi(-75/98) = 0.77796 - 0.49593
P[ 51.05 < X < 54.75] = 0.28203 = 0.282
And that is the answer