Statistics Cluster sampling - Statistics

What is cluster sampling?

Cluster sampling is known as a group of elements that highlight the heterogeneous in nature within group and are selected randomly. Other than stratified sampling where groups are homogeneous and few elements are randomly selected from each group then cluster sampling the group with intra group heterogeneity are developed and the related elements within the group will be a pan of the sample. Whereas stratified sampling is known as intra group homogeneity and inter group heterogeneity, cluster sampling has intra group heterogeneity.


One stage cluster sampling

A committee including the number of members across different departments has a high degree of heterogeneity. Among them only few are selected randomly and this is called as the case of one stage cluster sampling.

Two stage cluster sampling

Here from each cluster which has been randomly chosen, then few elements are selected randomly with simple random sampling or any other probability method which is called as the two stage cluster sampling.

Multi-stage cluster sampling

A cluster sample may known as the multiple stage sampling, when the choice of element in a sample includes selection at various stages e.g.for example if you take a national survey on insurance products a sample of insurance companies is to be drawn, then it requires developing clusters at multiple stages.

The clusters are created on the basis of public and private companies. In the second stage a group of companies are selected randomly from each cluster developed earlier. In the third level the office location of each chosen company from where data is to be collected is chosen randomly. So the multistage sampling, probability sampling of primary units is done, then each and every primary unit a sample of secondary sampling units is drawn and then the third levels till we reach the final stage of breakdown for the sample units.

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