Corresponding to interarrival times of customers

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Reference no: EM132192084

1. The random variables corresponding to the interarrival times of customers and the service times of the servers are commonly part of a(n) __________ simulation.

discrete-event

what-if

Monte Carlo

risk analysis

2. A distribution of a random variable for which values extremely larger or smaller than the mean are increasingly unlikely can possibly be modeled as a(n) _____________ probability distribution.

binomial

exponential

normal

gamma

3. Which of the following numbers cannot result from the Excel function =NORM.INV(RAND( ), 100, 10)?

115

All of these numbers can result from this Excel function.

121

4. The weekly demand for an item in a retail store follows a uniform distribution over the range 70 to 83. What would be the weekly demand if its corresponding computer-generated value is 0.5?

76.5

90.1

50.85

5. Which of the following is a disadvantage of using simulation?

Each simulation run provides only a sample of how the real system will operate.

The simulation models are used to describe systems without requiring the assumptions that are required by mathematical models.

Simulation models warn against poor decision strategies by projecting disastrous outcomes such as system failures, large financial losses, and so on.

Reference no: EM132192084

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