Cluster sampling involves identifying naturally occurring clusters of individuals from the population and then selecting participants from each cluster.

Question

Quizplus · Accepted Answer

Cluster sampling is a sampling technique in which the population is divided into naturally occurring clusters, and individuals from each cluster are selected to be included in the sample. This is done to reduce the cost of data collection, as it may be more feasible to sample from clusters rather than to sample randomly from the entire population. Examples of clusters include schools, neighborhoods, or hospitals.

Cluster Sampling Involves Identifying Naturally Occurring Clusters of Individuals from the Population