# Modelling And Simulation(It705c)

40 Questions | Total Attempts: 2301  Settings  • 1.
The parameters of a binomial distribution with mean 80 and variance 4 are
• A.

N=16 , p=1/2

• B.

N=16,p=1/4

• C.

N=32,p=1/4

• D.

None of these

• 2.
An entity is
• A.

Object of interest of the system

• B.

Attribute

• C.

Time period of specified length

• D.

None of these

• 3.
Monte-Carlo simulation is used for solving certain
• A.

Deterministic,

• B.

Stochastic

• C.

deterministic and stochastic,

• D.

None of these problems.

• 4.
Random variate of probability distribution can be generated using
• A.

inverse-transform technique

• B.

Acceptance-rejection technique

• C.

both of these

• D.

none of these.

• 5.
The convolution method refers to adding
• A.

Two

• B.

Two or more

• C.

Three

• D.

Three or more variables.

• 6.
A M/M/1/∞/FIFO queue is in explosive state if
• A.

λ >µ

• B.

µ> λ

• C.

λ ≥µ

• D.

µ≥ λ.

• 7.
Maximum likelihood estimator are
• A.

Only consistent

• B.

only efficient

• C.

Unbiased

• D.

Consistent and usually efficient

• 8.
For normal distribution
• A.

Mean = median

• B.

Mean>median

• C.

mean< median

• D.

none of these.

• 9.
Type – I error is the error of
• A.

Rejecting the null hypothesis when it is true

• B.

Rejecting the null hypothesis when it is false

• C.

accepting the null hypothesis when it is true

• D.

Accepting the null hypothesis when it is false.

• 10.
For a chi-square distribution with n degrees of freedom the mean is
• A.

N

• B.

2n

• C.

N^2

• D.

N^3

• 11.
Deterministic simulation model contains
• A.

No

• B.

One

• C.

Two

• D.

More than two random variables.

• 12.
In a M/M/1/∞/FIFO queue the probability of more than N customers in the queue is
• A.

(λ /µ)N

• B.

(µ /λ)N

• C.

(λµ)N

• D.

None of these.

• 13.
Which of the following are advantages of simulation?
• A.

Simulation allows "what-if?" type of questions.

• B.

Simulation can usually be performed by hand or using a small calculator

• C.

Simulation does not interfere with the real-world system

• D.

(a) and (c) only

• 14.
The first step in simulation is to
• A.

Set up possible courses of action for testing.

• B.

Construct a numerical model.

• C.

Define the problem.

• D.

Validate the model.

• 15.
Which of the following are disadvantages of simulation?
• A.

Is not usually easily transferable to other problems

• B.

could be disruptive by interfering with the real-world system

• C.

"time compression" capability

• D.

inability to analyze large and complex real-world situations

• 16.
The first step in the Monte Carlo simulation process is to
• A.

Generate random numbers.

• B.

set up cumulative probability distributions.

• C.

Establish random number intervals.

• D.

Set up probability distributions.

• 17.
Cumulative probabilities are found by
• A.

Summing all the previous probabilities up to the current value of the variable.

• B.

Simulating the initial probability distribution.

• C.

Summing all the probabilities associated with a variable.

• D.

None of the above

• 18.
If we are going to simulate an inventory problem, we must
• A.

Run the simulation for many days.

• B.

Run the simulation for many days many times, i.e., using multiple sets of random numbers.

• C.

Run the simulation many times, i.e., using multiple sets of random numbers.

• D.

Run the simulation once, for a relative short period of time.

• 19.
From a practical perspective, if we have a waiting line problem for which the Poisson and negative exponential distributions do not apply, and we desire a reasonably accurate solution, we should
• A.

Modify the queuing equations to make them appropriate for our problem.

• B.

Use simulation.

• C.

Use the simple queuing equations even though we realize they are inappropriate.

• D.

Build a physical model and use that to study the problem.

• 20.
All of the following are various ways of generating random numbers except
• A.

Fibonacci series

• B.

Von Neumann midsquare method

• C.

Spin of roulette wheel

• D.

Table of random numbers

• 21.
The three types of mathematical simulation models are
• A.

Monte Carlo, systems simulation, computer gaming.

• B.

Monte Carlo, queuing, maintenance policy.

• C.

Operational gaming, Monte Carlo, systems simulation.

• D.

None of the above

• 22.
Simulation should be thought of as a technique for
• A.

Providing quick and dirty answers to complex problems.

• B.

Obtaining an optimal solution to a problem.

• C.

Obtaining a relatively inexpensive solution to a problem.

• D.

Increasing one's understanding of a problem.

• 23.
Simulation is best thought of as a technique to
• A.

• B.

Increase understanding of a problem.

• C.

Provide rapid solutions to relatively simple problems.

• D.

Provide optimal solutions to complex problems.

• 24.
When simulating the Monte Carlo experiment, the average simulated demand over the long run should approximate the
• A.

Real demand.

• B.

Expected demand.

• C.

Sampled demand.

• D.

Daily demand.

• 25.
The idea behind simulation is to
• A.

Imitate a real-world situation.

• B.

Study the properties and operating characteristics of a real-world situation.

• C.

Draw conclusions and make action decisions based on simulation results.

• D.

All of the above.