.
To infer about the unknown universe from a knowledge of any sample
To infer about the known universe from a knowledge of a sample drawn from it
To infer about the unknown universe from a knowledge of a random sample drawn from it
Both (a) and (b)
Sample drawn from the population under discussion possesses the characteristics of the population
A large sample drawn at random from the population would posses the characteristics of the population
A large sample drawn at random from the population would possess the characteristics of the population on an average
An optimum level of efficiency can be attained at a minimum cost
Sampling errors
Non-sampling errors
Either (a) or (b)
Both (a) and (b)
A finite population
An infinite population
A hypothetical population
An imaginary population
Sample observations
A sampling frame
Sample survey
Complete enumeration
Haphazard sampling
Probability sampling
Systematic sampling
Sampling with the same probability for each unit
Population
Sample
Both (a) and (b)
(a) or (b)
A function of sample observations
A function of population units
A characteristic of a population
A part of a population
The variation in the values of a statistic
The variation in the values of a sample
The differences in the values of a parameter
The variation in the values of observations
The distribution of sample observations
The distribution of random samples
The distribution of a parameter
The probability distribution of a statistic
The error committed in sampling
The error committed in sample survey
The error committed in estimating a parameter
Standard deviation of a statistic
Standard error
Sampling fluctuation
Sampling distribution
Expectation
Increases
Decreases
Remains constant
Decrease proportionately
300
625
50
600
100
15
125
25
The population is not very large
The population is not much heterogeneous
The population is partitioned into several sections
Both (a) and (b)
A probabilistic sampling
A non-probabilistic sampling
A mixed sampling
Both (b) and (c)
Sample size is proportional to the population size
Sample size is proportional to the sample SD
Sample size is proportional to the sample variance
Population size is proportional to the sample variance
Multistage sampling
Stratified sampling
Simple random sampling
Systematic sampling
Simple random sampling
Multistage sampling
Stratified sampling
Systematic sampling
Simple random sampling
Stratified sampling
Multistage sampling
Systematic sampling
Systematic sampling
Simple random sampling
Purposive sampling
Quota sampling
Unbiasedness, consistency, efficiency and sufficiency
Unbiasedness, expectation, sampling and estimation
Estimation, consistency, sufficiency and efficiency
Estimation, expectation, unbiasedness and sufficiency
A biased estimator
An unbiased estimator
A biased estimator for population SD
A biased estimator for population variance
An MVUE for population mean
A consistent and efficient estimator for population mean
A sufficient estimator for population mean
All of these
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