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17,10 Suppose the number of customers who come into a computer repair shop on a randomly selected day is a Poisson random variable with mean
17,10 Suppose the number of customers who come into a computer repair shop on a randomly selected day is a Poisson random variable with mean 20. The times that these customers arrive are distributed uniformly in the eight-hour period that the shop is open. Finally, the amount of time (in hours) each customer requires can be modeled as a Beta( 1. 3) random variable, The store owner wants to have enough employees in the shop so that on 905% of days, no one has to wait for service, How many employees is this? Solve this difficult problem using simulations in R
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