Asked by hannah burkle on May 09, 2024

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In queuing problems, which of the following probability distributions is typically used to describe the number of arrivals per unit of time?

A) binomial
B) normal
C) Poisson
D) exponential
E) lognormal

Poisson Distributions

A statistical distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events occur with a known constant rate and independently of the time since the last event.

Arrivals PER Unit

A measure in queue theory or operations research indicating the rate at which entities arrive into a system for processing, per unit of time.

  • Comprehend the role and utility of probability distributions in analyzing queuing theory.
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elina sanchez alonsoMay 11, 2024
Final Answer :
C
Explanation :
The Poisson distribution is used to describe the number of arrivals per unit of time in queuing problems, where the arrivals are random and independent of each other. This distribution is appropriate when the arrival rate is constant and the arrivals are rare or infrequent. The binomial distribution is used to describe the number of successes in a fixed number of trials, which is not applicable in queuing problems. The normal and lognormal distributions are used to describe continuous variables, whereas the number of arrivals is a discrete variable. The exponential distribution is used to describe the time duration between arrivals or service times, rather than the number of arrivals.