Decision Science | Chapter 3 | Part 1 | MBA MCQs | DS

Decision Science MCQ

  

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1. The inter departure time , corresponding to truncated Poisson distribution in a
   pure death model is ___________.
   1.   Binomial distributed.
   2.   Exponential distributed .
   3.   Poisson distributed
   4.   None of these.
2. In certain situation the customer arrives from one gate and departure takes from another gate. This situation of incoming and outgoing can be stated as _________.
   1.   The birth death process.
   2.   None of these.
   3.   The pure death process.
   4.   The pure birth process.
3. Under the exponential assumption, the probability that an event will occur in sufficient small interval is________________
   1.   Always positive.
   2.   Always negative.
   3.   Always Zero .
   4.   None of these.
4. In queue description M/M/1, the number of servers are _____________.
   1.   2
   2.   1.
   3.   None of these
   4.   M
5. Consider the situation, when no server is working, then the number of
   customers in the system are___________.
   1.   Equal to number of customers in queue.
   2.   More than number of customers in queue.
   3.   Less than number of customers in queue.
   4.   None of these.
6. Under the exponential assumptions the probability that an event occur in
   sufficient small interval is ____________.
   1.   Less than one.
   2.   .None of these.
   3.   Greater than one.
   4.   Equals to one.
7. There are N inventories in the system, one by one all the inventories are
   consumed with replacing the inventories. This process is stated as_____________.
   1.   The pure birth process.
   2.   None of these.
   3.   The pure death process.
   4.   The birth death process.
8. The arrival of customer(with no departure) in system, in queueing theory can
   be stated as__________.
   1.   None of these.
   2.   The pure death process.
   3.   The birth death process.
   4.   The pure birth process.
9. The mean and standard deviation of exponential distribution are _________.
   1.   Equal.
   2.   Mean< s. d.
   3.   None of these.
   4.   Mean>s. d.
10. The withdrawal of items from certain in ventory without refilling in queueing
    systems can be stated as __________.
    1.   None of these .
    2.   The pure death process.
    3.   The birth death process.
    4.   The pure birth process.
11. The interarrival time is 10 minutes the arrival rate is ________
    1.   1/10.
    2.   2
    3.   8
    4.   3
12. On a certain day, number of customers in a system are 20,and number of
    customer in service are 12,the number of customers waiting for service are
    ________.
    1.   20
    2.   8
    3.   10
    4.   None of these.
13. If the interarrival time is exponential with mean 1/ ג eht Number of arrivals in (0,t) is___________.
    1.   None of these
    2.   Poisson distributed.
    3.   Binomial distributed
    4.   Exponential distributed .
14. If the injured goes to doctor for treatment then in queueing system the
    doctor and injured are respectively____________ .
    1.   Customer and server.
    2.   Server and customer.
    3.   None of these
    4.   Both server.
15. The arrival and departure of quests in a hotel in queueing systems can be stated as ________.
    1.   The pure birth process.
    2.   The birth death process.
    3.   The pure death process.
    4.   None of these.
16. The passenger and the train in queueing system describers_________ .
    1.   None of these.
    2.   Both server.
    3.   Server and customer.
    4.   Customer and server.
17. Let p be the probability that an arrival occurs in Δ t =0 under exponential
    assumptions___________.
    1.   0≤p≤1.
    2.   0≤1<1.
    3.   0<p≤1.
    4.   0<p<1.
18. If the rate of birth is 12 per minute. Then the average number of birth per
    year is __________.
    1.   None of these .
    2.   45000.
    3.   43800.
    4.   40000
19. Let q be the probability that no arrival occur in Δt=0 under exponential
    assumption is ________.
    1.   0≤q<1
    2.   0<q≤1
    3.   0<q<1
    4.   0≤q≤1.
20. The departure and arrivals in queuing system are normally considered
    respectively M/M/1 the arrival and departure distribution are_____________.
    1.   General
    2.   None of these.
    3.   Both Markovian .
    4.   . Binomial.