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SSC CGL Exam > SSC CGL Tests > Test: Sampling Theory - 1 - SSC CGL MCQ

Test: Sampling Theory - 1 - SSC CGL MCQ

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30 Questions MCQ Test - Test: Sampling Theory - 1

Test: Sampling Theory - 1 for SSC CGL 2024 is part of SSC CGL preparation. The Test: Sampling Theory - 1 questions and answers have been prepared according to the SSC CGL exam syllabus.The Test: Sampling Theory - 1 MCQs are made for SSC CGL 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: Sampling Theory - 1 below.

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Test: Sampling Theory - 1 - Question 1

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(Direction 1 - 27) Answer the following questions. Each question carries one mark.

Q. Sampling can be described as a statistical procedure

A.
To infer about the unknown universe from a knowledge of any sample
B.
To infer about the known universe from a knowledge of a sample drawn from it
C.
To infer about the unknown universe from a knowledge of a random sample drawn from it
D.
Both (a) and (b).

Test: Sampling Theory - 1 - Question 2

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The Law of Statistical Regularity says that

A.
Sample drawn from the population under discussion possesses the characteristics of the population
B.
A large sample drawn at random from the population would posses the characteristics of the population
C.
A large sample drawn at random from the population would possess the characteristics of the population on an average
D.
An optimum level of efficiency can be attained at a minimum cost.

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Test: Sampling Theory - 1 - Question 3

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A sample survey is prone to

A.
Sampling errors
B.
Non-sampling errors
C.
Either (a) or (b)
D.
Both (a) and (b)

Test: Sampling Theory - 1 - Question 4

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The population of roses in Salt Lake City is an example of

A.
A finite population
B.
An infinite population
C.
A hypothetical population
D.
An imaginary population.

Test: Sampling Theory - 1 - Question 5

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Statistical decision about an unknown universe is taken on the basis of

A.
Sample observations
B.
A sampling frame
C.
Sample survey
D.
Complete enumeration

Test: Sampling Theory - 1 - Question 6

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Random sampling implies

A.
Haphazard sampling
B.
Probability sampling
C.
Systematic sampling
D.
Sampling with the same probability for each unit

Test: Sampling Theory - 1 - Question 7

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A parameter is a characteristic of

A.
Population
B.
Sample
C.
Both (a) and (b)
D.
(a) or (b)

Test: Sampling Theory - 1 - Question 8

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A statistic is

A.
A function of sample observations
B.
A function of population units
C.
A characteristic of a population
D.
A part of a population

Test: Sampling Theory - 1 - Question 9

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Sampling Fluctuations may be described as

A.
The variation in the values of a statistic
B.
The variation in the values of a sample
C.
The differences in the values of a parameter
D.
The variation in the values of observations

Test: Sampling Theory - 1 - Question 10

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The sampling distribution is

A.
The distribution of sample observations
B.
The distribution of random samples
C.
The distribution of a parameter
D.
The probability distribution of a statistic

Test: Sampling Theory - 1 - Question 11

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Standard error can be described as

A.
The error committed in sampling
B.
The error committed in sample survey
C.
The error committed in estimating a parameter
D.
Standard deviation of a statistic

Test: Sampling Theory - 1 - Question 12

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A measure of precision obtained by sampling is given by

A.
Standard error
B.
Sampling fluctuation
C.
Sampling distribution
D.
Expectation

Test: Sampling Theory - 1 - Question 13

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As the sample size increases, standard error

A.
Increases
B.
Decreases
C.
Remains constant
D.
Decreases proportionately

Test: Sampling Theory - 1 - Question 14

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If from a population with 25 members, a random sample without replacement of 2 members is taken, the number of all such samples is

A.
300
B.
625
C.
50
D.
600

Test: Sampling Theory - 1 - Question 15

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A population comprises 5 members. The number of all possible samples of size 2 that can be drawn from it with replacement is

A.
100
B.
15
C.
125
D.
25

Test: Sampling Theory - 1 - Question 16

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Simple random sampling is very effective if

A.
The population is not very large
B.
The population is not much heterogeneous
C.
The population is partitioned into several sections.
D.
Both (a) and (b)

Test: Sampling Theory - 1 - Question 17

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Simple random sampling is

A.
A probabilistic sampling
B.
A non- probabilistic sampling
C.
A mixed sampling
D.
Both (b) and (c)

Test: Sampling Theory - 1 - Question 18

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According to Neyman’s allocation, in stratified sampling

A.
Sample size is proportional to the population size
B.
Sample size is proportional to the sample SD
C.
Sample size is proportional to the sample variance
D.
Population size is proportional to the sample variance

Test: Sampling Theory - 1 - Question 19

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Which sampling provides separate estimates for population means for different segments and also an over all estimate?

A.
Multistage sampling
B.
Stratified sampling
C.
Simple random sampling
D.
Systematic sampling

Test: Sampling Theory - 1 - Question 20

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Which sampling adds flexibility to the sampling process?

A.
Simple random sampling
B.
Multistage sampling
C.
Stratified sampling
D.
Systematic sampling

Test: Sampling Theory - 1 - Question 21

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Which sampling is affected most if the sampling frame contains an undetected periodicity?

A.
Simple random sampling
B.
Stratified sampling
C.
Multistage sampling
D.
Systematic sampling

Test: Sampling Theory - 1 - Question 22

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Which sampling is subjected to the discretion of the sampler?

A.
Systematic sampling
B.
Simple random sampling
C.
Purposive sampling
D.
Quota sampling

Test: Sampling Theory - 1 - Question 23

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The criteria for an ideal estimator are

A.
Unbiasedness, consistency, efficiency and sufficiency
B.
Unbiasedness, expectation, sampling and estimation
C.
Estimation, consistency, sufficiency and efficiency
D.
Estimation, expectation, unbiasedness and sufficiency

Test: Sampling Theory - 1 - Question 24

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The sample standard deviation is

A.
A biased estimator
B.
An unbiased estimator
C.
A biased estimator for population SD
D.
A biased estimator for population variance

Test: Sampling Theory - 1 - Question 25

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The sample mean is

A.
An MVUE for population mean
B.
A consistent and efficient estimator for population mean
C.
A sufficient estimator for population mean
D.
All of these

Test: Sampling Theory - 1 - Question 26

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For an unknown parameter, how many interval estimates exist?

A.
Only one
B.
Two
C.
Three
D.
Many

Test: Sampling Theory - 1 - Question 27

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The most commonly used confidence interval is

A.
95 percent
B.
90 percent
C.
94 percent
D.
98 percent

Test: Sampling Theory - 1 - Question 28

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(Direction 28- 40) Answer the following question. Each question carries 2 marks.

Q. If a random sample of size 2 with replacement is taken from the population containing the units 3,6 and 1, then the samples would be

A.
(3,6),(3,1),(6,1)
B.
(3,3),(6,6),(1,1)
C.
(3,3),(3,6),(3,1),(6,6),(6,3),(6,1),(1,1),(1,3),(1,6)
D.
(1,1),(1,3),(1,6),(6,1),(6,2),(6,3),(6,6),(1,6),(1,1)

Test: Sampling Theory - 1 - Question 29

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If a random sample of size two is taken without replacement from a population containing the units a,b,c and d then the possible samples are

A.
(a, b),(a, c),(a, d)
B.
(a, b),(b, c), (c, d)
C.
(a, b), (b, a), (a, c),(c,a), (a, d), (d, a)
D.
(a, b), (a, c), (a, d), (b, c), (b, d), (c,d)

Test: Sampling Theory - 1 - Question 30

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If a random sample of 500 oranges produces 25 rotten arranges, then the estimate of SE of the proportion of rotten arranges in the sample is

A.
0.01
B.
0.05
C.
0.028
D.
0.0593

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