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In Queuing Theory, statistical pattern by which customers arrive over a period of time, follows
- a)Binomial distribution
- b)Normal distribution
- c)Poisson distribution
- d)Long-normal distribution
Correct answer is option 'C'. Can you explain this answer?
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Most Upvoted Answer
In Queuing Theory, statistical pattern by which customers arrive over ...
Queuing theory is a branch of operation research that studies the movement of people, objects, or information through a line.
Important Points
- The analytical modeling of a queue would involve providing an input specification describing the queue
- The arrival describes the way the customer enter the system
- Poisson distribution is a discrete probability distribution that expresses the probability of the given number of an event occurring in fixed intervals.
- The arrival pattern can be expressed as
P ( X ) = λ x e − λ X ! μ - The inter-arrival follows the exponential distribution
Hence the correct answer is In Queuing Theory, the statistical pattern by which customers arrive over a period of time follows Poisson distribution.
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Community Answer
In Queuing Theory, statistical pattern by which customers arrive over ...
Queuing theory is a branch of operation research that studies the movement of people, objects, or information through a line.
Important Points
- The analytical modeling of a queue would involve providing an input specification describing the queue
- The arrival describes the way the customer enter the system
- Poisson distribution is a discrete probability distribution that expresses the probability of the given number of an event occurring in fixed intervals.
- The arrival pattern can be expressed as
P ( X ) = λ x e − λ X ! μ - The inter-arrival follows the exponential distribution
Hence the correct answer is In Queuing Theory, the statistical pattern by which customers arrive over a period of time follows Poisson distribution.
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In Queuing Theory, statistical pattern by which customers arrive over a period of time, followsa)Binomial distributionb)Normal distributionc)Poisson distributiond)Long-normal distributionCorrect answer is option 'C'. Can you explain this answer?
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