Sampling is process of getting the samples that are small fractions of attributes from the universe in order to get some sort of inference about the whole universe. At times it is very difficult to survey the whole universe. That’s why the concept of sampling comes into picture. The theory of statistical inference requires the existence of sampling procedure in order to have a fair idea about the conclusion. Broadly the sampling is categorized as random and non-random sampling. Let’s have a look into the different kinds of sampling techniques.

Sampling is of following types:

1.       Simple Random Sampling

2.       Simple Non-Random Sampling

3.       Stratified Random Sampling

4.       Systematic Sampling

5.       Cluster Sampling

6.       Multi-Stage Sampling

7.       Judgment Sampling

8.       Convenience Sampling

9.       Quota Sampling

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