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What is Stratified vs Cluster Sampling in Marketing about?

Stratified random sampling involves dividing a population into homogeneous subgroups (strata) based on attributes. Random samples are selected from each strata. This ensures representation from various subgroups. Cluster sampling divides a population into clusters, then randomly selects some clusters and analyzes all units within them. It is used when only cluster-level information is available. Types of cluster sampling include single-stage, where all elements in selected clusters are used, and two-stage,

Author

Christine Ivy Delos Santos

Language

EN