City Cab, Inc., uses two dispatchers to handle requests for service and to dispatch the cabs. The telephone calls that are made to City Cab use a common telephone number. When both dispatchers are busy, the caller hears a busy signal; no waiting is allowed. Callers who receive a busy signal can call back later or call another cab service. Assume that the arrival of calls follows a Poisson probability distribution, with a mean of 40 calls per hour, and that each dispatcher can handle a mean of 30 calls per hour. The example presented meets which of these conditions? and why? 1. Poisson arrivals and exponential service time 2. Poisson arrivals and non-exponential service time.

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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City Cab, Inc., uses two dispatchers to handle requests for service and to dispatch the cabs. The telephone calls that are made to City Cab use a common telephone number. When both dispatchers are busy, the caller hears a busy signal; no waiting is allowed. Callers who receive a busy signal can call back later or call another cab service. Assume that the arrival of calls follows a Poisson probability distribution, with a mean of 40 calls per hour, and that each dispatcher can handle a mean of 30 calls per hour.

The example presented meets which of these conditions? and why?

1. Poisson arrivals and exponential service time

2. Poisson arrivals and non-exponential service time.

 

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