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 sampling of 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
The 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
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A questionnaire consists of set of queries about a.
A. specific issue
B. sample
C. population
D. sample design
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Regression method of estimation was introduced by.
A. R A Fisher
B. Karl Pearson
C. Watson
D. Cochran
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In regression method of estimation ß is.
A. independent variable
B. dependent variable
C. slope of the line
D. regression coefficient
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Regression estimation can be made in.
A. one way
B. two way
C. three way
D. none of the above
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The bias is negligible in.
A. large samples
B. small samples
C. ratio
D. sample mean
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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
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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
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Regression method was introduced in.
A. 1925
B. 1937
C. 1940
D. 1938
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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
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Sampling techniques was written by.
A. William G Cochran
B. Ronald A Fisher
C. Kish
D. Deming
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Sampling techniques was published by.
A. John Wiley and Sons
B. McGraw Hill
C. Chapman& Hall
D. Macmillan
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We prefer regression method when line passes through the origin.
A. True
B. False
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The ratio estimate of population total can be done only separately.
A. True
B. False
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Bias and relative bias are two different estimates.
A. True
B. False
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In ratio method of estimation sample mean is a consistent estimate of population mean.
A. True
B. False
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A sample of cluster is selected at random.
A. True
B. False
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Regression model with stochastic term is called random model.
A. True
B. False
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Systematic sampling demands the selection of single sampling unit.
A. True
B. False
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The estimate of ratio in ratio method of estimation is consistent estimate of population ratio.
A. True
B. False
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Regression model with stochastic term is called exact model.
A. True
B. False
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Systematic sampling is imprecise when the unit in sample is homogeneous.
A. True
B. False
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If sample size is large sample mean to approaches to population mean.
A. True
B. False
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In regression method of estimation the auxiliary variate (Xi) is correlated with.
A. Xi
B. Yi
C. Ri
D. Xi & Yi
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b is.
A. estimate of change
B. change in y due to x
C. constant
D. variable
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In regression method of estimation b and B are.
A. same
B. constant
C. variable
D. sample and population regression coefficient respectively
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If b – B = 0. It means that.
A. MSE is zero
B. sampling error not ignored
C. sampling error ignored
D. variance zero
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To compare ratio, regression and simple random sampling, the sample size should be.
A. small
B. large
C. two
D. 8
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If ? > 0 variance of regression is superior than.
A. simple random sample
B. ratio estimate
C. stratified random sampling
D. cluster sampling
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Simple random sampling and systematic sampling are.
A. probability sampling
B. non probability sampling
C. quota sampling
D. time sampling
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In systematic sampling we divide.
A. population into nth parts
B. population into N equal of kit unit each
C. population
D. sample
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In systematic sampling the first selection of unit determines the.
A. first sample
B. last sample
C. whole sample
D. none of the above
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Regression method of estimation was introduced to increase.
A. variance
B. error
C. precision
D. accuracy
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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
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Systematic sampling demands the selection of single complex.
A. sampling frame
B. frame
C. sampling design
D. sampling unit
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The cluster may be.
A. equal
B. unequal
C. equal or unequal
D. constant
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Clusters are known as.
A. PSU
B. SSU
C. BSU
D. MSU
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The performance of systematic sampling depends on.
A. sample size
B. population
C. properties of population
D. characteristics of sample
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In cluster sampling units are found in the form of.
A. aggregate
B. groups
C. cluster
D. stratum
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Cluster sampling is a type of.
A. purposive sampling
B. quota sampling
C. probability sampling
D. non probability sampling
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Clusters are
A. similar to stratum
B. homogeneous
C. dissimilar to stratum
D. systematic sample
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Regression estimation can be made in.
A. one way
B. two way
A. three way
B. none of the above
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The bias is negligible in.
A. large samples
B. small samples
C. ratio
D. sample mean
View Answer
In regression method of estimation sample total is an unbiased estimate of the population.
A. total
B. mean
C. ratio
D. variance
View Answer
In regression method of estimation sample ratio is an unbiased estimate of the population.
A. total
B. mean
C. ratio
D. variance
View Answer
Cluster sampling is a non-probability sampling technique.
A. True
B. False
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Regression model without stochastic term is called exact model.
C. True
D. False
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When regression line passes through the origin, sample ratio is an unbiased estimate of population ratio.
A. True
B. False
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In systematic sampling first element is selected randomly.
A. True
B. False
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Regression model with stochastic term is called fixed model.
A. True
B. False
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