Here is the problem and the queestions.

The owner of a local car dealership has just received a call from a regional distributor stating that a $3,000 bonus will be awarded if the owner's dealership sells anywhere between 7 to 10 new cars next Saturday and a $5000 bonus if it sells more than 10 new cars next Saturday. The owner is fairly certain that the number of customers who show up on a given Saturday would not be less than 20, but also thinks it would be unrealistic to expect more than 100 (which is the largest number of customers ever to show up in one day). Thus, it is reasonable to assume that the number of customers is uniformly distributed, with minimum 20, and maximum 100 (keeping of course in mind that the number of customers must be a whole number). The owner determined that there is a 0.09 probability that any given customer will buy a new car. Using Crystal Ball: a. Develop a simulation model and determine the expected number of cars the dealership will sell next Saturday. [14pts] b. What is the probability that the dealership will earn the $3,000 bonus? [3pts] (Attach the frequency chart which displays the probability value. There is no need to display statistics output here) c. What is the probability the dealer will earn the $5000 bonus? [3pts] (Keep in mind that the dealership will earn only one of the two bonus amounts. Attach the frequency chart which displays the probability value. There is no need to display statistics output here)