Answer:
The answer is below
Step-by-step explanation:
The z score is a score used to determine by how many standard deviations the raw score is above or below the mean. The z score is given by:

a)

From the normal distribution table, P(z > 0.45) = 1 - 0.6736 = 32.64%
b) The z score that corresponds to a probability of 95% is 1.65
Therefore:
