Modelling And Simulation(It705c)

40 Questions | Total Attempts: 2301

SettingsSettingsSettings
Modelling And Simulation(It705c) - Quiz

Questions and Answers
  • 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. 

      Give concrete numeric answers.

    • 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.