Which of the following is an example of probability sampling?
Cluster sampling is a probability sampling technique in which the population is divided into groups (clusters), and then a random selection of entire clusters is made for inclusion in the sample, giving every cluster (and thus every member) a known, non-zero chance of selection. This contrasts with judgment sampling, which is a non-probability method relying on the researcher's subjective judgment to select sample members, and sampling fraction, which is simply the ratio of sample size to population size rather than a sampling method itself.
Community Discussion