MANAGEMENT

Detailed explanation-1: -Cluster sampling divides the population into groups or clusters. A number of clusters are selected randomly to represent the total population, and then all units within selected clusters are included in the sample.

Detailed explanation-2: -If you do not have a list of every member of the population you are interested in, it is still possible to choose a random sample by using cluster sampling. Cluster sampling divides your population into groups and a simple random selection of those groups is made.

Detailed explanation-3: -There are four primary, random (probability) sampling methods – simple random sampling, systematic sampling, stratified sampling, and cluster sampling.