Benefits of clustering
Cluster sampling is a two-stage sampling technique that is closely related to stratified sampling. First, you randomly sample which subgroups to include in the sample, then randomly sample rows within each subgroup.
In which of the following situations would cluster sampling be preferable to stratified sampling?
This exercise is part of the course
Sampling in Python
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