a) Let x = weight of one pilot.
Want to find P(150 < x < 201)
Since z = (x - mean) / standard deviation
= P ((150 - 158)/34.2 < (x-mean/standard deviation) < (201 - 158/34.2))
= P(-0.234 < z < 1.257)
We can now use normal probability table to find P(-0.234 < z < 1.257)
The probabilities in the normal probability table are cumulative (corresponding to less than a z value), so
the above probability is equal to:
P(z < 1.257) - P(z < -0.234) = 0.8962 - 0.409 0.4872
b) For this part we will be using Xbar (the mean) instead of X and will be using the standard error of the mean (standard deviation/square root (sample size)) in the computation of the z-values. You have not given the sample size in the statement of your problem.
c) the probability of the mean is more relevant since it gives you a better estimate.