Hannah H. answered 06/26/20
Previous University Finance Tutor
Standardize the normal random variables to find the z-scores
z = (x - µ) / (σ / √n)
z = (103.4 - 100.3) / (68.6 / √120)
z = 0.495
z = (x - µ) / (σ / √n)
z = (118.5 - 100.3) / 68.6 / √120
z = 2.91
Since z tables are cumulative, if we subtract the probabilities that correspond to these z-scores, it will give us the area in between to the two P(103.4 < Z < 118.5)
With a z-score of 0.495, the probability is .6897. With a z-score of 2.91, the probability is .9982.
.9982 - .6897 = .3085 or 30.85%