Solved Sampling Techniques MCQs – Statistics Quiz

Course Objectives

Sampling Techniques MCQs to explain the logic of sampling and different related concepts.To enable the student to decide what kind of sampling technique to be adopted for a given type of population. How population unknown values are estimated on the basis of information obtained from sample. How the efficiencies of different sampling designs differ.

Topics of MCQs

Cluster Sampling MCQs : reasons for using the cluster sampling, examples of clusters of equal and unequal sizes, single stage cluster sampling for clusters of equal sizes, notations, mean per unit and mean per element, variance within clusters, variance between clusters, correlation, anova table for population and sample.

Relationship between cluster sampling and systematic random sampling, unbiasedness of sample mean and variance of the sample mean per element, in case of single stage cluster samplingof equal sized clusters. Variance of the cluster sample in terms of intra-cluster correlation.

Clusters of unequal sizes, unbiased estimate of population total and its variance, simple random sample of clusters: ratio-to-size estimation, sampling with probability proportional to size, selection with unequal probabilities with replacement.

Sampling with unequal probabilities without replacement, Horvitz-Thompson estimator, Brewer’s method. Subsampling with units of equal sizes, primary sampling units and secondary sampling units, two stage cluster sampling

General expression for the variance of an estimator in case of 2-stage sampling, mean of two stage cluster sample and its variance, sample estimation of variance.

Three stage sampling, examples of three stage cluster sampling, general expression for the variance of an estimator in case of three stage sampling, mean of three stage cluster sample and its variance.

Subsampling with clusters of unequal sizes. Double sampling, double sampling for stratification. Sources of errors in surveys, effects of non-response, types of non response, errors of measurements. Bias.

Sampling Techniques MCQs

Regression method of estimation is used to get.
A. small variance
B. large variance
C. unbiased variance
D. biased but consistent variance
View Answer

A. small variance

A questionnaire consists of set of queries about a.
A. specific issue
B. sample
C. population
D. sample design
View Answer

A. specific issue

Regression method of estimation was introduced by.
A. R A Fisher
B. Karl Pearson
C. Watson
D. Cochran
View Answer

C. Watson

In regression method of estimation ß is.
A. independent variable
B. dependent variable
C. slope of the line
D. regression coefficient
View Answer

C. slope of the line

Regression estimation can be made in.
A. one way
B. two way
C. three way
D. none of the above
View Answer

B. two way

The bias is negligible in.
A. large samples
B. small samples
C. ratio
D. sample mean
View Answer

A. large samples

Read Also >> Basic Statistical Inference MCQs

In regression method of estimation sample mean is an unbiased estimate of the population.
A. total
B. mean
C. ratio
D. variance
View Answer

B. mean

In regression method of estimation sample variance is smaller than variance of.
A. ratio method of estimation
B. stratified random sample
C. simple random sample
D. all above
View Answer

C. simple random sample

Regression method was introduced in.
A. 1925
B. 1937
C. 1940
D. 1938
View Answer

B. 1937

Ratio method of estimation is not applicable when regression line is passing.
A. not through origin
B. through origin
C. through y-axis
D. through x-axis
View Answer

A. not through origin

Sampling techniques was written by.
A. William G Cochran
B. Ronald A Fisher
C. Kish
D. Deming
View Answer

A. William G Cochran

Sampling techniques was published by.
A. John Wiley and Sons
B. McGraw Hill
C. Chapman& Hall
D. Macmillan
View Answer

A. John Wiley and Sons

We prefer regression method when line passes through the origin.
A. True
B. False
View Answer

B. False

The ratio estimate of population total can be done only separately.
A. True
B. False
View Answer

B. False

Bias and relative bias are two different estimates.
A. True
B. False
View Answer

A. True

In ratio method of estimation sample mean is a consistent estimate of population mean.
A. True
B. False
View Answer

A. True

A sample of cluster is selected at random.
A. True
B. False
View Answer

B. False

Regression model with stochastic term is called random model.
A. True
B. False
View Answer

A. True

Systematic sampling demands the selection of single sampling unit.
A. True
B. False
View Answer

A. True

The estimate of ratio in ratio method of estimation is consistent estimate of population ratio.
A. True
B. False
View Answer

A. True

Regression model with stochastic term is called exact model.
A. True
B. False
View Answer

B. False

Systematic sampling is imprecise when the unit in sample is homogeneous.
A. True
B. False
View Answer

A. True

If sample size is large sample mean to approaches to population mean.
A. True
B. False
View Answer

A. True

In regression method of estimation the auxiliary variate (Xi) is correlated with.
A. Xi
B. Yi
C. Ri
D. Xi & Yi
View Answer

B. Yi

b is.
A. estimate of change
B. change in y due to x
C. constant
D. variable
View Answer

B. change in y due to x

In regression method of estimation b and B are.
A. same
B. constant
C. variable
D. sample and population regression coefficient respectively
View Answer

D. sample and population regression coefficient respectively

If b – B = 0. It means that.
A. MSE is zero
B. sampling error not ignored
C. sampling error ignored
D. variance zero
View Answer

C. sampling error ignored

To compare ratio, regression and simple random sampling, the sample size should be.
A. small
B. large
C. two
D. 8
View Answer

B. large

If ? > 0 variance of regression is superior than.
A. simple random sample
B. ratio estimate
C. stratified random sampling
D. cluster sampling
View Answer

A. simple random sample

Simple random sampling and systematic sampling are.
A. probability sampling
B. non probability sampling
C. quota sampling
D. time sampling
View Answer

A. probability sampling

In systematic sampling we divide.
A. population into nth parts
B. population into N equal of kit unit each
C. population
D. sample
View Answer

B. population into N equal of kit unit each

In systematic sampling the first selection of unit determines the.
A. first sample
B. last sample
C. whole sample
D. none of the above
View Answer

C. whole sample

Regression method of estimation was introduced to increase.
A. variance
B. error
C. precision
D. accuracy
View Answer

C. precision

Systematic sample is as precise as stratified random sample when one unit is drawn from.
A. population
B. each unit
C. each group
D. each stratum
View Answer

D. each stratum

Systematic sampling demands the selection of single complex.
A. sampling frame
B. frame
C. sampling design
D. sampling unit
View Answer

C. sampling design

The cluster may be.
A. equal
B. unequal
C. equal or unequal
D. constant
View Answer

C. equal or unequal

Clusters are known as.
A. PSU
B. SSU
C. BSU
D. MSU
View Answer

A. PSU

The performance of systematic sampling depends on.
A. sample size
B. population
C. properties of population
D. characteristics of sample
View Answer

C. properties of population

In cluster sampling units are found in the form of.
A. aggregate
B. groups
C. cluster
D. stratum
View Answer

B. groups

Cluster sampling is a type of.
A. purposive sampling
B. quota sampling
C. probability sampling
D. non probability sampling
View Answer

C. probability sampling

Clusters are
A. similar to stratum
B. homogeneous
C. dissimilar to stratum
D. systematic sample
View Answer

C. dissimilar to stratum

Regression estimation can be made in.
A. one way
B. two way
A. three way
B. none of the above
View Answer

B. two way

The bias is negligible in.
A. large samples
B. small samples
C. ratio
D. sample mean
View Answer

B. small samples

In regression method of estimation sample total is an unbiased estimate of the population.
A. total
B. mean
C. ratio
D. variance
View Answer

A. total

In regression method of estimation sample ratio is an unbiased estimate of the population.
A. total
B. mean
C. ratio
D. variance
View Answer

C. ratio

Cluster sampling is a non-probability sampling technique.
A. True
B. False
View Answer

B. False

Regression model without stochastic term is called exact model.
C. True
D. False
View Answer

C. True

When regression line passes through the origin, sample ratio is an unbiased estimate of population ratio.
A. True
B. False
View Answer

A. True

In systematic sampling first element is selected randomly.
A. True
B. False
View Answer

A. True

Regression model with stochastic term is called fixed model.
A. True
B. False
View Answer

A. True

Read More >> Sampling Techniques MCQs

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