MCQ Part 3

51. In period approach we perform all the analysis in particular year about total

       A.   Cohort.

      B.    Distribution.

      C.    Sub Group.

D.    Population.

52. Period approach is

      A.    Difficult and complex.

      B.    Simple but not reliable

C.    Simple and easy.

D.    Difficult but reliable.

53. Actual cohort is that cohort which consists of those people having same

A.   Year of birth (Belong to same birth cohort).

B.   Country.

C.   Distribution.

D.   Population.

54. Synthetic cohort is that cohort which we make the cohort by

A.   Ourselves.

B.   Department.

C.   Law.

D.   Period approach

55.  Immigration means

      A.    Out-migration.

      B.    Refuge.

C.    In-migration.

D.    Pass port.

56. Emigration means.

      A.    Out-migration.

      B.    Refuge.

C.    In-migration.

D.    Pass port.

57. Events which bring change in the size of the population are called

      A.    Actual events

B.    Demographic events.

C.    Random events.

D.    Special events.

58. Death and Births are called

A.    Actual events

B.    Demographic events.

C.    Random events.

      D.    Vital events.

59. Demographic process is a sequence of changes brought in a population due to interplay of

 A.    Actual events

 B.    Demographic events.

 C.    Random events.

       D.    Vital events.

60. If a person remain member of population for whole year, we say he contribute

      A.   One person year.

      B.   One action year.

      C.   One busy year.

      D.   One population year.

61. Estimation of intermediate unknown value corresponding to a given value is called

      A.   Estimation.

B.   Interpolation.

C.   Projection.

D.   Calculation.

62.    The number of assumptions of interpolation

       A.   Two.

      B.    Five.

      C.    Three.

      D.    Four.

 63. i.    There are no sudden jumps in figures from one period to another.

      ii.   Data is free from ups and downs.

      iii.  If there are “N+1” paired values of argument X and entry Y then a polynomial of degree N must be passed through it.

Above stated assumptions are of

A.     Interpolation.

B.    Extrapolation.

C.    Estimation.

D.    Hypothesis.

64. There are two main methods of interpolation i.e Graphical method and

      A.   Periodical.

      B.   Statistical.

      C.   Physical.

D.   Mathematical.

65. The set of all admissible values of the parameter associated with Population distribution function is called

      A.    Sample space.

B.    Parametric space.

C.    Parameter space.

D.    Distribution space

66.  denotes

 A.     Parametric space.

 B.     Sample space

 C.     Parameter space

 D.     Distribution space

67. i.    Method of maximum likelihood

      ii.   Method of moments

      iii.  Method of least squares

      iv.   Bayesian method

      v.   Inverse probability method

The above methods are among the some of the methods of

A.      Calculation.

B.      Projection.

C.      Estimation.

D.     Observation.

68. Sequential Analysis refers to the techniques for testing hypothesis or estimating parameters when the sample size is

A.      Fixed in advance.

B.      Sometimes fixed in advance

C.      Not fixed in advance.

D.      Sometimes not fixed in advance.

69. The sample size is determined during the course of experiment by criteria which depend on the observations as they occur.

      A.    Population analysis.

      B.    Sequential analysis.

      C.    Numerical analysis.

      D.    Statistical analysis.

70. A distribution is said to be truncated when some of its portion is

      A.     Not clear.

      B.     Clear but estimated.

C.     Missing.

D.     Estimated

71. In case of truncated distribution a portion of area below “a” and above “b” is called degree of

      A.     Freedom.

      B.     Censoring.

      C.     Fluctuation.

D.     Truncation.

72.    In case of truncated distribution by censoring we mean that the count of sample is known but not their individual values in the

      A.     Left position

B.    Truncated position.

C.    Whole distribution.

D.    Mid position

73. Censoring is a property of the

A.     Sample.

B.     Population.

C.     Data.

D.     Calculation.

74. Suppose we know that 10 students have height more than six feet, we do not know the actual height. Similarly 15 students have height less than five feet, but we do not know the actual height. This is called

      A.   Single censoring.

B.   Double censoring.

C.   Actual censoring.

D.   Secret censoring.

75. In case of truncated distribution, the samples can be

A.   Singly or doubled censored.

B.   Singly censored.

C.   Doubled censored.

D.   Not be censored.

51	D	52	C	53	A	54	A	55	C
56	A	57	B	58	D	59	B	60	A
61	B	62	C	63	A	64	D	65	B
66	A	67	C	68	C	69	B	70	C
71	D	72	B	73	A	74	B	75	A