Answer: D.0.0853
Explanation:
We assume that the daily revenue totals for the next 30 days will be follow a normal distribution.
Given : Population mean :

Standard deviation :

Sample size : n=30
Let X be the random variable that represents the daily revenue .
Z-score :

For x=$7500

By using the standard normal distribution table for z , we have


Hence, the probability that the mean daily revenue for the next 30 days will exceed $7500= 0.0853=