McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Bachelor of Business Administration (BBA) , Master of Commerce (M.com) .
201. |
The maximise criteria is ........................... |
A. | Optimistic |
B. | Pessimistic |
C. | Neutral |
D. | None of these |
Answer» B. Pessimistic |
202. |
Decision making under certainty refers to .............................. situation. |
A. | Deterministic |
B. | Probabilistic |
C. | Competitive |
D. | None of these |
Answer» A. Deterministic |
203. |
............................is known as father of game theory. |
A. | Von Neumann |
B. | A K Erlang |
C. | George b Dantzig |
D. | Arnoff |
Answer» A. Von Neumann |
204. |
Which of the following is an assumption of game theory? |
A. | The players act rationally and intelligently |
B. | Each payer has a finite set of possible courses of action |
C. | The players attempt to maximise gains or minimises losses |
D. | All of the above |
Answer» D. All of the above |
205. |
Each participant of the game is called................... |
A. | Strategist |
B. | Winner |
C. | Player |
D. | Loser |
Answer» C. Player |
206. |
The outcome of a game is known as.................... |
A. | Profit |
B. | Loss |
C. | Pay off |
D. | None of these |
Answer» C. Pay off |
207. |
A matrix which shows the gains and losses resulting from moves and counter moves is called.................................. |
A. | Cost matrix |
B. | Pay off matrix |
C. | Both a and b |
D. | None of these |
Answer» B. Pay off matrix |
208. |
When all the players of the game follow their optimal strategies, then the expected pay off of the game is called....................... |
A. | Gain of the game |
B. | Loss of the game |
C. | Value of the game |
D. | None of these |
Answer» C. Value of the game |
209. |
The position in the pay off matrix where the maximin coincides with the minimax. |
A. | Saddle point |
B. | Break even point |
C. | Pivot point |
D. | None of the above |
Answer» A. Saddle point |
210. |
A game is said to be fair if the value of the game is......................... |
A. | One |
B. | Two |
C. | Three |
D. | Zero |
Answer» D. Zero |
211. |
In a ........................game the amounts won by all winners together is equal to the sum of the amounts lost by all losers together. |
A. | Non-zero sum game |
B. | Zero sum game |
C. | Rectangular game |
D. | None of these |
Answer» B. Zero sum game |
212. |
Which of the following method is used to solve mixed strategy problems: |
A. | Probability method |
B. | Graphic method |
C. | Linear Programming method |
D. | All of the above |
Answer» D. All of the above |
213. |
A queue is formed when the demand for a service: |
A. | Exceeds the capacity to provide that service |
B. | Is less than the capacity to provide that service |
C. | a or b |
D. | None of these |
Answer» A. Exceeds the capacity to provide that service |
214. |
Queuing theory is also termed as ............................ |
A. | Game theory |
B. | Replacement theory |
C. | Waiting line theory |
D. | None of these |
Answer» C. Waiting line theory |
215. |
In queuing theory, ...................... refers to those waiting in a queue or receiving service. |
A. | Service provider |
B. | Customer |
C. | Both a and b |
D. | None of these |
Answer» B. Customer |
216. |
In queuing theory, ...................... is a person by whom service is rendered. |
A. | Customer |
B. | Server |
C. | a or b |
D. | none of these |
Answer» B. Server |
217. |
In waiting line theory, number of customers waiting in the queue is referred to as ................ |
A. | Traffic intensity |
B. | Queuing system |
C. | Service pattern |
D. | Queue length |
Answer» D. Queue length |
218. |
Number of customers in the queue per unit of time is called ...................... |
A. | Queuing system |
B. | Length of queue |
C. | Average length of queue |
D. | None of these |
Answer» C. Average length of queue |
219. |
The ration between mean arrival rate and mean service rate is called ................... |
A. | Idle period |
B. | Average length of queue |
C. | Traffic intensity |
D. | None of these |
Answer» C. Traffic intensity |
220. |
Commonly assumed probability distribution of arrival pattern is ....................... |
A. | Poisson distribution |
B. | Binomial distribution |
C. | Normal distribution |
D. | None of these |
Answer» A. Poisson distribution |
221. |
Commonly assumed probability distribution of service pattern are ....................... |
A. | Poisson distribution |
B. | Exponential distribution |
C. | Erlang distribution |
D. | b and c |
Answer» D. b and c |
222. |
a customer’s behaviour of leaving the queue when he does not like to wait in the queue due to lack of time or space is called ..................... |
A. | Jockying |
B. | Reneging |
C. | Collusion |
D. | Balking |
Answer» D. Balking |
223. |
A customer’s behaviour of leaving the queue due to impatience is called ....................... |
A. | Jockying |
B. | Reneging |
C. | Collusion |
D. | Balking |
Answer» B. Reneging |
224. |
A customer’s behaviour of jumping from one queue to another is called ............................ |
A. | Jockying |
B. | Reneging |
C. | Collusion |
D. | Balking |
Answer» A. Jockying |
225. |
In queuing theory, ............................ stands for mean arrival rate of customers. |
A. | μ |
B. | λ |
C. | t |
D. | none of these |
Answer» B. λ |
226. |
In queuing theory, ............................ stands for mean service rate. |
A. | μ |
B. | λ |
C. | t |
D. | none of these |
Answer» A. μ |
227. |
...................... is a method of analysing the current movement of the some variable in an effort to predict the future movement of the same variable. |
A. | Goal programming |
B. | Queuing theory |
C. | Markov Analysis |
D. | Replacement theory |
Answer» C. Markov Analysis |
228. |
Initial feasible solution to a transportation problem arrived through which of the following method is very near to the optimal solution: |
A. | NWCM |
B. | LCM |
C. | VAM |
D. | None of these |
Answer» C. VAM |
229. |
In Transportation Problem, NWCM stands for ............................. |
A. | North West Cost Method |
B. | Net Worth Corner Method |
C. | North West Corner Method |
D. | None of these |
Answer» C. North West Corner Method |
230. |
In Transportation Problem, LCM stands for ............................. |
A. | Lowest Common Multiplier |
B. | Least Cost Method |
C. | Lowest Cell Method |
D. | None of these |
Answer» B. Least Cost Method |
231. |
Matrix Minima Method to find initial feasible solution to a TP is also called ....................... |
A. | NWCM |
B. | LCM |
C. | VAM |
D. | None of these |
Answer» C. VAM |
232. |
MODI Method to test the optimality of a feasible solution to TP is also called............... |
A. | Stepping Stone Method |
B. | u. v. Method |
C. | both a and b |
D. | none of these |
Answer» B. u. v. Method |
233. |
............................refers to the manner in which the customers behave while being in the queue. |
A. | Service pattern |
B. | Service pattern |
C. | Queue discipline |
D. | None of these |
Answer» C. Queue discipline |
234. |
Excess of service facilities over and above the number of customers results: |
A. | Idleness of service capacity |
B. | Queues |
C. | Both a and b |
D. | None of these |
Answer» A. Idleness of service capacity |
235. |
................................was the first person who developed a viable queueing theory |
A. | Von Neumann |
B. | Morgenstern |
C. | H M Wagner |
D. | Simeon Dennis Poisson |
Answer» D. Simeon Dennis Poisson |
236. |
Traffic intensity in Queuing Theory is also called........................... |
A. | Service factor |
B. | Arrival factor |
C. | Utilisation factor |
D. | None of these |
Answer» C. Utilisation factor |
237. |
Traffic intensity is computed by using the formula: |
A. | λ/μ |
B. | μ/λ |
C. | 1- λ/μ |
D. | 1- μ/λ |
Answer» A. λ/μ |
238. |
Game theory became popular when the book “Theory of Games and Economic Behaviour” was published in 1944 by .............................. |
A. | Von Neumann |
B. | Mc Closky |
C. | Von-Neumann and Mc Closky |
D. | Von-neumann and Morgenstern |
Answer» D. Von-neumann and Morgenstern |
239. |
Which of the following is a characteristic of a dual problem: |
A. | Dual of a dual is primal |
B. | If dual has a finite optimal solution, then the primal also has finite optimal solution |
C. | If dual has no feasible solution, then the primal also has no feasible solution |
D. | All of the above |
Answer» D. All of the above |
240. |
Shadow price is also called ...................... |
A. | Dual price |
B. | Unit price |
C. | Total cost |
D. | None of these |
Answer» A. Dual price |
241. |
................................is that element of the simplex table which lis both in the key row and key column. |
A. | Key element |
B. | Pivot element |
C. | Both a and b |
D. | None of these |
Answer» C. Both a and b |
242. |
Transportation model was first introduced by ........................ in the year 1941. |
A. | T C Koopman |
B. | George B Dantzig |
C. | Von-neumann |
D. | F L Hitchcock |
Answer» D. F L Hitchcock |
243. |
VAM is also called........................ |
A. | Matrix Minima Method |
B. | Penalty Method |
C. | MODI Method |
D. | None of these |
Answer» B. Penalty Method |
244. |
Which of the following methods is used to solve an assignment problem: |
A. | Enumeration Method |
B. | Hungarian Method |
C. | Simplex Method |
D. | All of the above |
Answer» D. All of the above |
245. |
Hungarian method was developed by ........................ |
A. | T C Koopman |
B. | F L Hitchcock |
C. | D Konig |
D. | George B Dantzig |
Answer» C. D Konig |
246. |
.................... is the popular method for solving an assignment problem. |
A. | Hungarian Method |
B. | Enumeration Method |
C. | Simplex Method |
D. | None of the above |
Answer» A. Hungarian Method |
247. |
The outlet where the services are being provided to the customers is called................. |
A. | Waiting line |
B. | Service facility |
C. | Idle facility |
D. | Traffic intensity |
Answer» B. Service facility |
248. |
The variables which can be manipulated by the decision maker are called.................... |
A. | Controllable variables |
B. | Uncontrollable variables |
C. | Both a and b |
D. | None of these |
Answer» A. Controllable variables |
249. |
The variables which cannot be manipulated by the decision maker are called.................... |
A. | Controllable variables |
B. | Uncontrollable variables |
C. | Both a and b |
D. | None of these |
Answer» B. Uncontrollable variables |
250. |
Controllable variables are also called.................................. |
A. | Slack variables |
B. | Surplus variables |
C. | Artificial variable |
D. | Decision variables |
Answer» D. Decision variables |
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