1. Random variable is also called ..............................

A. stochastic variable

B. chance variable

C. both

D. none of these

Correct : C. both

2. If the random variable of a probability distribution assumes specific values only, then it is called ...............................

A. discrete probability distribution

B. continuous probability distribution

C. probability distribution

D. none of these

Correct : A. discrete probability distribution

3. npq is the variance of ....................................

A. binomial distribution

B. poisson distribution

C. probability distribution

D. none of these

Correct : A. binomial distribution

4. For a binomial distribution with probability p of a success and of q of a failure, the relation between mean and variance is .............................

A. mean is less than variance

B. mean is greater than variance

C. mean is equal to variance

D. mean is greater than or equal to variance

Correct : B. mean is greater than variance

5. In a binomial distribution, if n =8 and p = 1/3, then variance = ........................

A. 8/3

B. 48/3

C. 64/3

D. 16/9

Correct : D. 16/9

6. In a .............................. distribution, mean is equal to variance

A. binomial

B. poisson

C. normal

D. gamma

Correct : B. poisson

7. For a binomial distribution, the parameter n takes ...................... values

A. finite

B. infinite

C. continuous

D. none of these

Correct : A. finite

8. Poisson distribution is the limiting form of ...............................

A. binomial distribution

B. normal distribution

C. poisson

D. none of these

Correct : A. binomial distribution

9. Poisson distribution is originated by ..........................

A. de-moivre

B. bernoulli

C. poisson

D. none of these

Correct : C. poisson

10. In Poisson distribution, mean is denoted by ........................

A. npq

B. np

C. m

D. e

Correct : C. m

11. Poisson distribution is a ........................... distribution.

A. negatively skewed distribution

B. positively skewed distribution

C. symmetrical distribution

D. none of these

Correct : B. positively skewed distribution

12. In Poisson distribution, the value of ‘e’ = ..........................

A. 2.178

B. 2.817

C. 2.718

D. 2.871

Correct : C. 2.718

13. Mean and variance of Poisson distribution is equal to ...............................

A. m

B. e

C. np

D. npq

Correct : A. m

14. If two independent random variables follow binomial distribution, their sum follows..............

A. binomial distribution

B. poisson distribution

C. normal distribution

D. none of these

Correct : A. binomial distribution

15. When X follows binomial distribution, P(X=0) is.........................

A. 0

B. 1

C. qn

D. pn

Correct : C. qn

16. Normal distribution was first discovered by ................................... in 1733 as limiting form of binomial distribution.

A. karl pearson

B. james bernoulli

C. de-moivre

D. simeon denis poisson

Correct : C. de-moivre

17. Normal distribution is a........................... probability distribution.

A. discrete

B. continuous

C. poisson

D. none of these

Correct : B. continuous

18. ...........................distribution gives a normal bell shaped curve.

A. normal

B. poisson

C. binomial

D. none of these

Correct : A. normal

19. The normal curve is .................................

A. bi-model

B. uni-model

C. mean

D. none of these

Correct : B. uni-model

20. Normal distribution is ......................

A. continuous

B. unimodal

C. normal

D. none of these

Correct : D. none of these

21. For a normal curve , the QD, MD, and SD are in the ratio of ..............................

A. 5:8:10

B. 10:12:15

C. 2:3:5

D. none of these

Correct : B. 10:12:15

22. An approximate relation between QD and SD of normal distribution is ...............

A. 2qd = 3sd

B. 5qd = 4sd

C. 4qd = 5sd

D. 3qd = 2sd

Correct : D. 3qd = 2sd

23. An approximate relation between MD about mean and SD of a normal distribution is ............................

A. 5md = 4 sd

B. 3md = 3 sd

C. 3md = 2 sd

D. 4md = 5 sd

Correct : A. 5md = 4 sd

24. The area under the standard normal curve beyond the line z = ±1.96 is ...............................

A. 5%

B. 10%

C. 90%

D. 95%

Correct : A. 5%

25. Normal distribution is ................................

A. mesokurtic

B. leptokurtic

C. more than 0

D. in between +1 and -1

Correct : A. mesokurtic

26. Mean Deviation (M.D) for normal distribution is equal to ......................

A. 5/4 s.d.

B. 3/2 s.d.

C. 4/5 s

Correct : C. 4/5 s

27. In a ......................... distribution, quartiles are equi-distant from median.

A. binomial

B. poisson

C. normal

D. none of these

Correct : C. normal

28. A normal distribution requires two parameters, namely the mean and ..............

A. median

B. mode

C. standard deviation±

D. mean deviation

Correct : C. standard deviation±

29. A normal distribution is an approximation to ..............................

A. binomial distribution

B. poisson distribution

C. poisson

D. none of these

Correct : A. binomial distribution

30. Mean ± 2 S.D. covers .............. % area of normal curve.

A. 68.27

B. 95.45

C. 95.54

D. 98.73

Correct : B. 95.45

31. Theoretically, the range of normal curve is ................................................

A. -1 to +1

B. +1 to infinity

C. –infinity to +infinity

D. none of these

Correct : C. –infinity to +infinity

32. Standard deviation of the sampling distribution is called ............................

A. probable error

B. standard error

C. mean deviation

D. coefficient of variation

Correct : B. standard error

33. Index numbers are

A. special type of average

B. measure the economic changes

C. to measure relative changes

D. all of these

Correct : D. all of these

34. The techniques which provide the decision maker a systematic and powerful means of analysis to explore policies for achieving predetermined goals are called.................

A. Mathematical techniques

B. Correlation technique

C. Quantitative techniques

D. . None of the above

Correct : C. Quantitative techniques

35. ............................. is the reverse process of differentiation

A. Differential equation

B. Integration

C. Determinant

D. None of these

Correct : B. Integration

36. ...............................is an operation research technique which resembles a real life situation.

A. Decision theory

B. Simulation

C. Game theory

D. Queuing theory

Correct : B. Simulation

37. C.P.M. stands for..........................................................

A. Critical Process Method

B. Critical Performance Measurement

C. Critical Path Method

D. Critical Programme Method

Correct : C. Critical Path Method

38. The word correlation usually implies.............................

A. Cause and effect relationship

B. Mutual interdependence

C. Both

D. None of the above

Correct : C. Both

39. Correlation analysis is a ............................analysis.

A. Univariate analysis

B. Bivariate analysis

C. Multivariate analysis

D. Both b and c

Correct : D. Both b and c

40. When the values of two variables move in the same direction, correlation is said to be ..........

A. Positive

B. Negative

C. Linear

D. Non-linear

Correct : A. Positive

41. When the values of two variables move in the opposite direction, correlation is said to be ........................

A. Positive

B. Negative

C. Linear

D. Non-linear

Correct : B. Negative

42. A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.

A. Decision tree

B. Graphs

C. Trees

D. Neural Networks

Correct : A. Decision tree

43. What is Decision Tree?

A. Flow-Chart

B. Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label

C. Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label

D. None of the mentioned

Correct : C. Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label

44. Choose from the following that are Decision Tree nodes?

A. Decision Nodes

B. End Nodes

C. Chance Nodes

D. All of the above

Correct : D. All of the above

45. Decision Nodes are represented by ------

A. Disks

B. Squares

C. Circles

D. Triangles

Correct : B. Squares

46. Chance Nodes are represented by __________

A. Disks

B. Squares

C. Circles

D. Triangles

Correct : C. Circles

47. Which of the following are the advantage/s of Decision Trees?

A. Possible Scenarios can be added

B. Use a white box model, If given result is provided by a model

C. Worst, best and expected values can be determined for different scenarios

D. All of the above

Correct : D. All of the above

48. ----- are the whose values are to be determined from the solution of the LPP

A. Objective function

B. Decision variables

C. Constrains

D. Opportunity cost

Correct : B. Decision variables

49. ------------ specifies the objective or goal of solving the LPP

A. Objective function

B. Decision variables

C. Constraints

D. Opportunity cost

Correct : A. Objective function

50. Objective function is expressed in terms of the --------------

A. Numbers

B. Symbols

C. Decision variables

D. None of the above

Correct : C. Decision variables

51. ---------- are the restrictions or limitations imposed on the LPP

A. Variables

B. Cost

C. Profit

D. Constraints

Correct : D. Constraints

52. Region of feasible solution in LPP graphical method is called

A. Infeasible region

B. Unbounded region

C. Infinite region

D. Feasible region

Correct : D. Feasible region

53. When it is not possible to find solution in LPP, it is called as case of ---------

A. Unknown solution

B. Unbounded solution

C. Infeasible solution

D. Improper solution

Correct : C. Infeasible solution

54. When the feasible region is such that the value of objective function can extended to infinity, it is called a case of ------------

A. Infeasible region

B. Alternate optimal

C. Unbounded solution

D. Unique solution

Correct : C. Unbounded solution

55. When the constraints are a mix of ‘less than’ and ‘greater than’ it is called a problem having

A. Multiple constraints

B. Infinite constraints

C. Infeasible region

D. Mixed constraints

Correct : D. Mixed constraints

56. In linear programming, unbounded solution means --------------

A. Infeasible region

B. Degenerate solution

C. Infinite solution

D. Unique solution

Correct : C. Infinite solution

Quiznetik

Quantitative Techniques for Business | Set 2

1. Random variable is also called ..............................

2. If the random variable of a probability distribution assumes specific values only, then it is called ...............................

3. npq is the variance of ....................................

4. For a binomial distribution with probability p of a success and of q of a failure, the relation between mean and variance is .............................

5. In a binomial distribution, if n =8 and p = 1/3, then variance = ........................

6. In a .............................. distribution, mean is equal to variance

7. For a binomial distribution, the parameter n takes ...................... values

8. Poisson distribution is the limiting form of ...............................

9. Poisson distribution is originated by ..........................

10. In Poisson distribution, mean is denoted by ........................

11. Poisson distribution is a ........................... distribution.

12. In Poisson distribution, the value of ‘e’ = ..........................

13. Mean and variance of Poisson distribution is equal to ...............................

14. If two independent random variables follow binomial distribution, their sum follows..............

15. When X follows binomial distribution, P(X=0) is.........................

16. Normal distribution was first discovered by ................................... in 1733 as limiting form of binomial distribution.

17. Normal distribution is a........................... probability distribution.

18. ...........................distribution gives a normal bell shaped curve.

19. The normal curve is .................................

20. Normal distribution is ......................

21. For a normal curve , the QD, MD, and SD are in the ratio of ..............................

22. An approximate relation between QD and SD of normal distribution is ...............

23. An approximate relation between MD about mean and SD of a normal distribution is ............................

24. The area under the standard normal curve beyond the line z = ±1.96 is ...............................

25. Normal distribution is ................................

26. Mean Deviation (M.D) for normal distribution is equal to ......................

27. In a ......................... distribution, quartiles are equi-distant from median.

28. A normal distribution requires two parameters, namely the mean and ..............

29. A normal distribution is an approximation to ..............................

30. Mean ± 2 S.D. covers .............. % area of normal curve.

31. Theoretically, the range of normal curve is ................................................

32. Standard deviation of the sampling distribution is called ............................

33. Index numbers are

34. The techniques which provide the decision maker a systematic and powerful means of analysis to explore policies for achieving predetermined goals are called.................

35. ............................. is the reverse process of differentiation

36. ...............................is an operation research technique which resembles a real life situation.

37. C.P.M. stands for..........................................................

38. The word correlation usually implies.............................

39. Correlation analysis is a ............................analysis.

40. When the values of two variables move in the same direction, correlation is said to be ..........

41. When the values of two variables move in the opposite direction, correlation is said to be ........................

42. A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.

43. What is Decision Tree?

44. Choose from the following that are Decision Tree nodes?

45. Decision Nodes are represented by ------

46. Chance Nodes are represented by __________

47. Which of the following are the advantage/s of Decision Trees?

48. ----- are the whose values are to be determined from the solution of the LPP

49. ------------ specifies the objective or goal of solving the LPP

50. Objective function is expressed in terms of the --------------

51. ---------- are the restrictions or limitations imposed on the LPP

52. Region of feasible solution in LPP graphical method is called

53. When it is not possible to find solution in LPP, it is called as case of ---------

54. When the feasible region is such that the value of objective function can extended to infinity, it is called a case of ------------

55. When the constraints are a mix of ‘less than’ and ‘greater than’ it is called a problem having

56. In linear programming, unbounded solution means --------------