QUESTION 33 Use the information below to answer Questions 33, 34, and 35. Ten rental Jet Skis are serviced by a single mechanic in a repair shop. Assume that each Jet Ski breaks down after an average of 7 days since its last breakdown (assume a Poisson distribution). Repair times follow an exponential distribution with an average repair time of 1/2 of a day. The following shows the results using the 'Waiting Lines Template with the above parameters. Finite Population Queueing Calculations 10 Basic Parameters Arrival Rate 0.143 per customer per day Service Rate 2 per day State Probabilities Number of Servers Number in system Probability Population size 0 37.73% Time Unit day 1 26.95% 17.32% Basic Performance Measures 9.90% Utilization 62% 4.95% P(O), probability that system empty 38% 2.12% Lq, expected number in queue 0.66 0.76% L, expected number in system 1.28 0.22% Wq, expected time in queue 0.53 days 0.05% W, expected total time in system 1.03 days 0.01% Probability that customer waits 62% 0.00% What is the probability that more than 5 jet skis are in the repair shop (waiting for or being repaired)? O 0.76% O 1.04% O 2.12% O 98.96% 99.24% QUESTION 34 Refer to the information in Question 33. What is the average number of jet skis that are broken down and waiting to be worked on by the mechanic, at any point in time? O 0.66 1.28 0.53 O 1.03 2.18 QUESTION 35 Refer to the information in Question 33. It is estimated that the lost profit of having a jet ski unavailable for rental (i.e. in the repair shop waiting for or being repaired) is $120 per day (or portion thereof). Based on the table above, what is the average amount of lost profit per day? (Round to two decimal places and do not use a dollar sign, i.e. "100.22")