An average of 10 cars per hour arrive to the bank at a single server drive-in teller. Assume that the average service time for each customer is 4 minutes, and both interarrival and service times are exponential. What is the probability that the arriving car waits for the teller.
If the arriving car waits for the teller, It means that the teller is working rather than being idle.
"M\/M\/1" with "\\lambda=10cars\/hour" and "\\mu =15cars\/hour"
Therefore, the probability that the arriving car waits the teller is
"P\\left(car\\:waits\\:for\\:teller\\right)=\\frac{\\lambda }{\\mu }=\\frac{10}{15}"
"P\\left(car\\:waits\\:for\\:teller\\right)=\\frac{2}{3}"
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