Final answer:
True. Multistage cluster sampling works by dividing the population into clusters and selecting a sample of clusters.
Step-by-step explanation:
True. Multistage cluster sampling works by dividing the population into clusters and then randomly selecting a sample of clusters. Each cluster contains all the members that are included in the sample. The clusters are then progressively smaller sampling frames.
For example, if you randomly sample four homeroom classes from a student population, each class represents a cluster, and all the students in those classes make up the cluster sample.