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Data & Analytics · Intermediate

Cluster Sampling

Dividing the population into clusters (such as schools or stores), randomly selecting whole clusters, and sampling everyone (or a sample) within them.

Definition

Cluster sampling is cost-effective for geographically spread populations but less precise than stratified sampling when clusters differ from one another.

Example

Randomly choosing 10 stores and surveying all customers in them.

Exam tip

Stratified = sample from every group; cluster = sample whole groups.

Related terms