Cluster sampling makes it easier to choose members randomly from smaller clusters to better represent the population.

Question

Quizplus · Accepted Answer

Cluster sampling involves dividing the population into smaller clusters and selecting a random sample of clusters. This makes it easier to sample from larger populations or populations that are geographically dispersed, as well as providing a more efficient way to sample from smaller populations within each cluster. Within each cluster, members can be randomly selected for inclusion in the sample, allowing for better representation of the population as a whole.

Cluster Sampling Makes It Easier to Choose Members Randomly from Smaller