In order to determine the required probabilities it is necessary to calculate the z-score for each case and then we can use a normal distribution table to find the associated probability for a certan value of the z-score.
a) For P(X < 55), that is the probability for x is less than 55.

Then P(X<55) = P(Z<-1.07). It means that we have to searh in a normal distribution table the previous value of Z to determine the probability. For instance, in this case:
The intersection of the two rectangles gives us the probability.
By searhing in a normal distribution table you have:
P(Z<-1.07) = 0.1423
The same procedure is applied to the rest of the points in this problem.
b) For P(Z>90):

Then P(X>90) = 1 - P(Z>1.43). This is used because of the organization of standard normal distribution tables.
P(Z>1.43) = 1 - 0.9236 = 0.0764
c) For P(X>51):

P(X>51) = 1 - P(Z>-1.36) = 1 - 0.0869 = 0.9130
d) For P(X<78):

P(X<78) = P(Z<0.57) = 0.7156