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We can model this problem using the M/M/1 queue, which is a common model for systems with a single server (in this case, the repairman), exponential arrival rates, and exponential service times. ### Given: - Arrival rate (λ): 4 sets per day (since 4 televisions arrive each day). - Service rate (μ): 1.5 hours per set. The repairman works 8 hours a day, so he repairs \(\frac{8}{1.5} \approx 5.33\) sets per day. Now, let's calculate the average number of television sets in the workshop and the probability that an arriving set will find at least 3 sets in front of it. ### Step _____ ______ _______ ______ _____ ________ ________ ________ __________ __________ ______ _______.
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