Cluster Sampling
Cluster sampling is a method of sampling in statistics and research where the entire population is divided into smaller, distinct groups or clusters.
Instead of selecting individual members from the population, researchers randomly choose some of these clusters to include in the study. Then, all members within the selected clusters are surveyed or studied.
Cluster Random Sampling
Cluster Random Sampling is a method where we start by picking a whole group and then study everyone within that group. It’s not like simple random sampling, where we select people one by one.
Cluster Random Sampling
It is also known as Cluster Sampling. In cluster random sampling, these groups are what we focus on. This article takes you through cluster sampling, explaining what it is, the different types, how it works, and where it’s commonly used.