Test: Sampling Theory

Question 1

The Law of Statistical Regularity says that

Accepted Answer

A large sample drawn at random from the population would possess the characteristics of the population on an average

Answer

Sample drawn from the population under discussion possesses the characteristics of the population

Answer

A large sample drawn at random from the population would posses the characteristics of the population

Answer

An optimum level of efficiency can be attained at a minimum cost.

Question 2

A sample survey is prone to

Accepted Answer

Both (a) and (b)

Answer

Sampling errors

Answer

Non-sampling errors

Answer

Either (a) or (b)

Question 3

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

Accepted Answer

An infinite population

Answer

A finite population

Answer

A hypothetical population

Answer

An imaginary population.

Question 4

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

Accepted Answer

Sample observations

Answer

A sampling frame

Answer

Sample survey

Answer

Complete enumeration

Question 5

Random sampling implies

Accepted Answer

Sampling with the same probability for each unit

Answer

Haphazard sampling

Answer

Probability sampling

Answer

Systematic sampling

Question 6

A parameter is a characteristic of

Accepted Answer

Population

Answer

Sample

Answer

Both (a) and (b)

Answer

(a) or (b)

Question 7

A statistic is

Accepted Answer

A function of sample observations

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A function of population units

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A characteristic of a population

Answer

A part of a population

Question 8

Sampling Fluctuations may be described as

Accepted Answer

The variation in the values of a statistic

Answer

The variation in the values of a sample

Answer

The differences in the values of a parameter

Answer

The variation in the values of observations

Question 9

The sampling distribution is

Accepted Answer

The probability distribution of a statistic

Answer

The distribution of sample observations

Answer

The distribution of random samples

Answer

The distribution of a parameter

Question 10

Standard error can be described as

Accepted Answer

Standard deviation of a statistic

Answer

The error committed in sampling

Answer

The error committed in sample survey

Answer

The error committed in estimating a parameter

Question 11

A measure of precision obtained by sampling is given by

Accepted Answer

Standard error

Answer

Sampling fluctuation

Answer

Sampling distribution

Answer

Expectation

Question 12

As the sample size increases, standard error

Accepted Answer

Decreases

Answer

Increases

Answer

Remains constant

Answer

Decreases proportionately

Question 13

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

Accepted Answer

300

Answer

625

Answer

50

Answer

600

Question 14

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

Accepted Answer

25

Answer

100

Answer

15

Answer

125

Question 15

Simple random sampling is very effective if

Accepted Answer

Both (a) and (b)

Answer

The population is not very large

Answer

The population is not much heterogeneous

Answer

The population is partitioned into several sections.

Sampling Theory - Free MCQ Practice Test with solutions, SSC CGL Statistics

MCQ Practice Test & Solutions: Test: Sampling Theory (15 Questions)

The Law of Statistical Regularity says that

A sample survey is prone to

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

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

Random sampling implies

A parameter is a characteristic of

A statistic is

Sampling Fluctuations may be described as

The sampling distribution is

Standard error can be described as

A measure of precision obtained by sampling is given by

As the sample size increases, standard error

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

Simple random sampling is very effective if

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