Decision Science | Chapter 2 | Part 5 | MBA MCQs | DS

Decision Science MCQs

  

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1. A sequence of transitions beginning in state i and ending in state j is called as
   1.   transition from 0 to j
   2.   transition from 0 to i
   3.   transition from i to j
   4.   transition from j to i
2. A random number generator provides numbers those are
   1.   In orderly fashion
   2.   In a increasing sequence
   3.   Selected by giving equal chance to all the available range of numbers
   4.   In a decreasing sequence
3. Values for the probabilistic inputs to a simulation
   1.   are calculated by fixed mathematical formulas
   2.   are randomly generated based on historical information
   3.   are selected by the decision maker
   4.   are controlled by the decision maker
4. In Markov analysis, we are concerned with the probability that the
   1.   state is part of a system
   2.   transition will occur
   3.   system is in a particular state at a given time
   4.   time has reached a steady state
5. Which of the following statements is INCORRECT regarding the advantages of simulation?
   1.   Simulation is relatively easy to explain and understand
   2.   Simulation guarantees an optimal solution
   3.   A simulation model provides a convenient experimental laboratory for the real system
   4.   Simulation guarantees an optimal solution
6. Simulation is a
   1.   both
   2.   Descriptive technique
   3.   none of these
   4.   Optimizing technique
7. In a market with three brands with equal shares the initial condition can be shown by
   1.   [1/3 1/3 1/3]
   2.   [0.5 0.25 0.25]
   3.   [a b c]
   4.   [0.25 0.25 0.25]
8. Markov analysis assumes that conditions are both
   1.   collectively dependent and mutually exclusive
   2.   collectively exhaustive and mutually exclusive
   3.   complementary and collectively exhaustive
   4.   collectively dependent and complementary
9. ………. Theory is an important operations research technique to analyze the queuing behavior
   1.   Network
   2.   Waiting line
   3.   Decision
   4.   Simulation
10. A simulation model uses the mathematical expressions and logical relationships of the
    1.   computer model
    2.   performance measures
    3.   real system
    4.   estimated inferences
11. In Markov analysis, the likelihood that any system will change from one period to the next is revealed by the
    1.   identity matrix
    2.   transition-elasticity
    3.   matrix of state probabilities
    4.   matrix of transition probabilities
12. Markov analysis is a technique that deals with the probabilities of future occurrences by
    1.   the maximal flow technique
    2.   using Bayes' theorem
    3.   time series forecasting
    4.   analyzing presently known probabilities
13. Cumulative probabilities are found by
    1.   any method one chooses
    2.   summing all the previous probabilities up to the current value of the variable
    3.   summing all the probabilities associated with a variable
    4.   simulating the initial probability distribution
14. In a transition probability matrix
    1.   The sum of each column is 0
    2.   The sum of each row is 0
    3.   The sum of each column is 1
    4.   The sum of each row is 1
15. The phenomenon in which customers join a line but leave after some time because they are too impatient to wait for their turn is called
    1.   Balking
    2.   Debalking
    3.   Derenege
    4.   Renege
16. As simulation is not an analytical model therefore result of simulation must be viewed as
    1.   Approximation
    2.   Simplified
    3.   Exact
    4.   Unrealistic
17. While considering the queuing models we have considered …. distribution for service time
    1.   Chi-square
    2.   Binomia
    3.   Normal
    4.   Exponential
18. The inputs required for Markov process include
    1.   transition probabilities
    2.   Initial condition of the market
    3.   both
    4.   none of these
19. Analysis of a Markov process
    1.   describes future behavior of the system
    2.   optimizes the system
    3.   leads to higher order decision making
    4.   All of the alternatives are true