Question

What sampling method is described when population units are divided into clusters, and instead of sampling individuals within each group, a random sample of entire clusters is selected, and measurements are taken only from those clusters?

Answer 1

The sampling method where clusters of a population are selected at random and measured is known as cluster sampling.

Step-by-step explanation:

The sampling method described, where population units are divided into clusters and a random sample of entire clusters is selected to take measurements from, is known as cluster sampling. In this method, you would, for example, divide a student population into homeroom classes (clusters), number each cluster, and then use random sampling to select entire classes. Every student from those selected clusters (classes) would be included in the sample. This type of sampling can be helpful when it is impractical or costly to measure every individual in the population. Unlike stratified sampling, cluster samples may not have representatives from every cluster, as only a few clusters are randomly chosen.