➤ How does cluster sampling differ from stratified sampling?
Cluster sampling groups naturally occurring units and randomly selects clusters to represent the population. Stratified sampling divides the population into homogeneous strata and randomly samples within each stratum. Clusters are internally heterogeneous and aim to be mini-populations; strata are internally similar. These differences affect variance, design effects, and sample-size needs.
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