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

Decision Science MCQs

  

 

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