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Latest ICAR Agriculture Statistics Exam Question (Objective Questions), MCQ in English

Subjects : Agriculture Statistics

Question Bank ICAR AIEEA JRF Agriculture Statistics Exam - English
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Agriculture Statistics

Question 1Single Answer
A function of all sampling units in the sample is known as-
  1. A
    Parameter
  2. B
    Statistic
  3. C
    Estimator
  4. D
    Estimate
Question 2Single Answer
Random number table is used to
  1. A
    To draw a random sample
  2. B
    To define a statistic
  3. C
    To decide the sample size n
  4. D
    None of these
Question 3Single Answer
Collection of all sampling units in the population is known as
  1. A
    Sampling frame
  2. B
    Population
  3. C
    Parameter
  4. D
    None of these
Question 4Single Answer
Sample survey is -
  1. A
    Less costly than census
  2. B
    More scopic than complete enumeration
  3. C
    Less scopic than complete enumeration
  4. D
    Both (a) & (b)
Question 5Single Answer
The ratio f=n/N is known as
  1. A
    Sampling fraction
  2. B
    Inclusion probability of a unit in the sample
  3. C
    Raising factor
  4. D
    Both (a) & (b)
Question 6Single Answer
Precision of an estimator is
  1. A
    Proportional to its sampling variance
  2. B
    Is versely proportional to its sampling variance
  3. C
    Equal to its standard error
  4. D
    None of these
Question 7Single Answer
Sample survey may produce
  1. A
    More accurate result than that of complete enumeration
  2. B
    Less accurate result than that of complete enumeration
  3. C
    Both (a) and (d)
  4. D
    Less non-sampling error
Question 8Single Answer
An estimator is a
  1. A
    Statistic
  2. B
    Ramdom Variable
  3. C
    Sample Value
  4. D
    Both (a) & (b)
Question 9Single Answer
Totality of all sampling units is known as
  1. A
    Sample
  2. B
    Population
  3. C
    Sampling frame
  4. D
    Population total
Question 10Single Answer
Sampling units may be
  1. A
    Individuals
  2. B
    Group of individuals
  3. C
    Patients
  4. D
    All the three
Question 11Single Answer
A list of all sampling units with their identification is known as
  1. A
    Sampling frame
  2. B
    Population
  3. C
    Census
  4. D
    Parameter
Question 12Single Answer
A function of all sampling units of the population is known as
  1. A
    Population parameter
  2. B
    Population constant
  3. C
    An estimator
  4. D
    Both (a) & (b)
Question 13Single Answer
Sample statistic can be considered as
  1. A
    An estimator
  2. B
    A romdom variable
  3. C
    A test statistic
  4. D
    All the three as needed
Question 14Single Answer
Enumeration of a small part of population is known as
  1. A
    Census
  2. B
    Sample Surveys
  3. C
    Sample
  4. D
    Sample Statistic
Question 15Single Answer
One of the roles of sampling theory is -
  1. A
    To provide an estimate of sampling variance
  2. B
    To provide an estimate of M. S. E. of an estimator
  3. C
    To provide an estimate of S. E. of an estimator
  4. D
    All the three (a), (b) and (c)
Question 16Single Answer
A sampling procedure which is governed by a sampling rule or is independent of sampler's discretion, is known as-
  1. A
    Objective sampling
  2. B
    Subjective sampling
  3. C
    Purposive sampling
  4. D
    All the three
Question 17Single Answer
A sampling procedure in which every units has a preassigned definite probability of it being selected in the sample, is known as
  1. A
    Purposive sampling
  2. B
    Probability sampling
  3. C
    Scientific sampling
  4. D
    Subjective sampling
Question 18Single Answer
A sampling procedure in which there is no probability of selection attached with the sampling units, is known as-
  1. A
    Non-probabilitic sampling
  2. B
    Judgement sampling
  3. C
    Systematic sampling
  4. D
    Optimistic sampling
Question 19Single Answer
Enumeration of population by sampling method was first time proposed by-
  1. A
    Lalace in 1783
  2. B
    Fisher R. A. in 1783
  3. C
    P.C. Mahalanobia in 1783
  4. D
    Sukhatme P.V. in 1783
Question 20Single Answer
The ratio of sample size n to population size N is known as
  1. A
    Inclusion probability
  2. B
    Sampling fraction
  3. C
    Raising factor
  4. D
    Both (a) and (b)
Question 21Single Answer
The selection probability of a unit from the population of size N remains constant and is equal to
  1. A
    {1-1/N}
  2. B
    1/N
  3. C
    1/N, Both (a) and (b)
  4. D
    N/n
Question 22Single Answer
Sampling error occurs in
  1. A
    Complete enumeration only
  2. B
    Sample survey only
  3. C
    (a) and (b) both
  4. D
    Random sampling
Question 23Single Answer
Schedule is a list of questions carried and filled by an-
  1. A
    Investigator
  2. B
    Sample Surveys only
  3. C
    Field staff
  4. D
    Statistician
Question 24Single Answer
The bias of an estimator of parameter is defined as
  1. A
  2. B
  3. C
  4. D
Question 25Single Answer
Non - Sampling error occurs in
  1. A
    Sample survey
  2. B
    Complete enumeration
  3. C
    Systematic sampling
  4. D
    Both in (a) and (b)
Question 26Single Answer
A true sample must possess the properly of
  1. A
    Representativeness of population.
  2. B
    Unbiasedness of population.
  3. C
    Biasedness of population
  4. D
    Consistency of population
Question 27Single Answer
The sample proportion "P" is an .................. estimator of population proportion "P"
  1. A
    Biased
  2. B
    Consistent
  3. C
    Unbiased
  4. D
    None of these
Question 28Single Answer
Any population constent is also known as
  1. A
    Statistic
  2. B
    Estimator
  3. C
    Parameter
  4. D
    All the three
Question 29Single Answer
The difference between the population parameter and its estimated value based on sample value to known as -
  1. A
    Sampling error
  2. B
    Standard error
  3. C
    Standard deviation
  4. D
    Biasness
Question 30Single Answer
Enumeration of all the sampling units of the population is known as
  1. A
    Sample surveys
  2. B
    Complete enumeration
  3. C
    Census
  4. D
    (b) and (c)
Question 31Single Answer
The square of S. E. of an estimator is known as
  1. A
    Sampling variance
  2. B
    Population variance
  3. C
    Population mean deviation
  4. D
    None of these
Question 32Single Answer
The calculated value of an estimator from sample values is known as
  1. A
    An estimate
  2. B
    Statistic
  3. C
    Sample variance
  4. D
    None of these
Question 33Single Answer
An expression to work out the sample variance s2 is given by
  1. A
  2. B
  3. C
  4. D
Question 34Single Answer
A complete and up to date list of all units of population with their identification is known as-
  1. A
    Population
  2. B
    Sampling frame
  3. C
    Population parameter
  4. D
    Complete enumeration
Question 35Single Answer
A method to obtain in estimate of a quantity with a given level of accuracy with minimum possible resources is known as principle of -
  1. A
    Least square
  2. B
    Optimization
  3. C
    Regularity
  4. D
    Consistency
Question 36Single Answer
Complele enumeration is ------ sample survey.
  1. A
    More efficient than
  2. B
    Less efficient Β than
  3. C
    More costly than
  4. D
    Both (b) & (c)
Question 37Single Answer
Sampling variance is the variance of
  1. A
    An estimator
  2. B
    Individual units of population
  3. C
    Sample statistic
  4. D
    None of these ope
Question 38Single Answer
Sample variance s2 under SRSWOR is an unbiased estimate of
  1. A
    Population MS (S?)
  2. B
    Population VarianceΒ 
  3. C
    Sampling Variance of sample mean.
  4. D
    None of these
Question 39Single Answer
Sample variance s2 is an unbiased estimate under SRSWR scheme of.
  1. A
    Population varianceΒ 
  2. B
    Population M. S (S2)
  3. C
    Variance of sample mean
  4. D
    None of these
Question 40Single Answer
The variance of sample meanΒ Β in case of SRSWOR decreases with
  1. A
    An increase in sample size
  2. B
    Decrease in sample size
  3. C
    Unaffected with sample size
  4. D
    None of these
Question 41Single Answer
In SRSWR scheme, for any subsequent draw, the population size-
  1. A
    Is decreased by one
  2. B
    Is increased by one
  3. C
    Remains constant
  4. D
    None of these
Question 42Single Answer
If the expected value of an estimator is greater than the value of a parameter then the estimator is said to be-
  1. A
    Negatively biased
  2. B
    Positively biased.
  3. C
    Unbiased
  4. D
    None of these
Question 43Single Answer
In case of sampling variance of sample mean y, the following relation exists
  1. A
    (a) VΒ SRSWOR > VΒ SRSWR
  2. B
    (b) VΒ SRSWOR < VΒ SRSWR
  3. C
    (c) VΒ SRSWORΒ Β VΒ SRSWR
  4. D
    (d) None of these
Question 44Single Answer
An unbiased estimate of V SRSWOR can be expressed as
  1. A
  2. B
  3. C
  4. D
Question 45Single Answer
A consistent estimate of S. E. (y) SRSWOR can be written as
  1. A
  2. B
  3. C
  4. D
Question 46Single Answer
For a biased estimator t, the following relation exists
  1. A
    MSE. (t) = V (t) + Bias (t)
  2. B
    M.SE (t) = V (t) + (Bias (t))
  3. C
    V (t) = M. S E (t) + Bias (t)
  4. D
    V (t) = M.SE (t) + (Bias (t))2
Question 47Single Answer
In SRSWOR, the number of all possible samples is equal to
  1. A
  2. B
  3. C
  4. D
Question 48Single Answer
The sampling fraction is defined as
  1. A
  2. B
  3. C
  4. D
Question 49Single Answer
Finite population correction is defined as
  1. A
  2. B
  3. C
  4. D
Question 50Single Answer
If the sampling units of population are haterogeneous in nature, the appropriate sampling scheme adopted for sample survey is
  1. A
    Cluster Sampling
  2. B
    Stratified Random Sampling
  3. C
    Systematic Sampling
  4. D
    Cluster Samplin
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