Statistics Dictionary

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Cluster sampling refers to a sampling method that has the following properties.

  • The population is divided into N groups, called clusters.
  • The researcher randomly selects n clusters to include in the sample.
  • The number of observations within each cluster Mi is known.
  • The total number of observations M = M1 + M2 + M3 + ... + MN-1 + MN.
  • Each element of the population can be assigned to one, and only one, cluster.
See also:   Tutorial: Cluster Sampling