# Sampling Theory In Statistics: Quiz! Test

42 Questions | Attempts: 947
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• 1.
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)

• 2.
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

• 3.
A sample survey is prone to:
• A.

Sampling errors

• B.

Non-sampling errors

• C.

Either (a) or (b)

• D.

Both (a) and (b)

• 4.
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

• 5.
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

• 6.
Random sampling implies:
• A.

Haphazard sampling

• B.

Probability sampling

• C.

Systematic sampling

• D.

Sampling with the same probability for each unit

• 7.
A parameter is a characteristic of:
• A.

Population

• B.

Sample

• C.

Both (a) and (b)

• D.

(a) or (b)

• 8.
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

• 9.
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

• 10.
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

• 11.
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

• 12.
A measure of precision obtained by sampling is given by:
• A.

Standard error

• B.

Sampling fluctuation

• C.

Sampling distribution

• D.

Expectation

• 13.
As the sample size increases, standard error:
• A.

Increases

• B.

Decreases

• C.

Remains constant

• D.

Decrease proportionately

• 14.
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

• 15.
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

• 16.
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)

• 17.
Simple random sampling is:
• A.

A probabilistic sampling

• B.

A non-probabilistic sampling

• C.

A mixed sampling

• D.

Both (b) and (c)

• 18.
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

• 19.
Which sampling provides separate estimates for population means for different segments and also an overall estimate?
• A.

Multistage sampling

• B.

Stratified sampling

• C.

Simple random sampling

• D.

Systematic sampling

• 20.
Which sampling adds flexibility to the sampling process?
• A.

Simple random sampling

• B.

Multistage sampling

• C.

Stratified sampling

• D.

Systematic sampling

• 21.
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

• 22.
Which sampling is subjected to the discretion of the sampler?
• A.

Systematic sampling

• B.

Simple random sampling

• C.

Purposive sampling

• D.

Quota sampling

• 23.
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

• 24.
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

• 25.
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

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