For many waiting line situations,the arrivals occur randomly and independently of other arrivals and it has been found that a good description of the arrival pattern is provided by a(n)
A)normal probability distribution.
B)exponential probability distribution.
C)uniform probability distribution.
D)Poisson probability distribution.

Question

Quizplus · Accepted Answer

The Poisson probability distribution is the best choice for describing arrival patterns in waiting line situations where arrivals occur randomly and independently of other arrivals. The Poisson distribution is specifically used for modeling events that occur randomly over time, such as arrivals at a queue or customers at a service counter. It allows us to calculate the probability of a certain number of arrivals occurring during a given time interval, which is useful for optimizing queueing systems and minimizing wait times.

For Many Waiting Line Situations,the Arrivals Occur Randomly and Independently