Customers enter the camera department of a store at the average rate of five per hour. The department is staffed by one employee, who takes an average of 4.0 minutes to serve each arrival. Assume this is a simple Poisson arrival, exponentially distributed service time situation. Use Exhibit 7.12. a-1. As a casual observer, how many people would you expect to see in the camera department (excluding the clerk)? (Round your answer to 2 decimal places.) Number of people a-2. How long would a customer expect to spend in the camera department (total time)? (Do not round intermediate calculations. Round your answer to 1 decimal place.) Average total time minutes b. What is the utilization of the clerk? (Do not round intermediate calculations. Round your answer to 1 decimal place.) Utilization % c. What is the probability that there are more than two people in the camera department (excluding the clerk)? (Do not round intermediate calculations. Round your answer to 1 decimal place.) Probability % d. Another clerk has been hired for the camera department who also takes an average of 4.0 minutes to serve each arrival. How long would a customer expect to spend in the department now? (Do not round intermediate calculations. Round your answer to 1 decimal place. Use the closest value of λ/μ in Exhibit 7.12 when determining Lq (i.e., do not interpolate).) Average total time minutes.