Essentials of Sampling

Essentials of Sampling –

We know that the study of a sample is called sampling, and the items included in a population (or universe) are called sampling units. If the sample results are to have any worthwhile meaning, it is necessary that a sample possesses the following essentials –

(1) Representativeness

A sample should be so selected that it truly represents the universe (or population) otherwise the results obtained may be misleading. To ensure representativeness the random method of selection should be used.

Read Also – Characteristics of a Good Sample in Statistics

(2) Adequacy

The size of the sample should be adequate, otherwise, it may not represent the characteristics of the universe.

(3) Independence

All items of the sample should be selected independently of one another and all items of the universe should have the same chance of being selected in the sample. By independence of selection, we mean that the selection of a particular item in one draw has an influence on the probabilities of selection in any other draw.

Read Also: Population, Sample, and Sampling in Statistics

(4) Homogeneity

When we talk of homogeneity we mean that there is no basic difference in the nature of units of the universe and that of the sample. If two samples from the same universe are taken, they should give more or less the same unit.

Read Also: Principles of Sampling or Laws of Sampling in Statistics

(Source – Various books from the college library)

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