Question

In what type of sample would you divide the sample into groups, typically along geographic lines, randomly select groups, and then measure all units within the sampled groups?

Answer 1

Cluster sampling is a method where the population is divided into groups, some are randomly selected, and all units within these groups are measured.

Step-by-step explanation:

The type of sample where you divide the sample into groups, typically along geographic lines, randomly select groups, and then measure all units within the sampled groups is known as a cluster sampling method. This is distinct from stratified sampling, where the population is divided into strata and a proportionate number of individuals from each stratum is chosen using simple random sampling. An example of cluster sampling is when if you randomly sample four homeroom classes from your student population, the four classes make up the cluster sample. Each class is considered a cluster. You would number each cluster, and then choose some number of clusters using random sampling. All the students from the chosen classes are included in the cluster sample, which means cluster sampling could have varying numbers of individuals from each cluster.