Cluster sampling is the least representative probability sampling design.

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Cluster sampling is a probability sampling method in which the population is divided into groups (clusters), and then a random sample of clusters is selected. The elements within each selected cluster are then included in the sample. Cluster sampling is less representative than other probability sampling methods, such as simple random sampling or stratified sampling, because the clusters may not be representative of the entire population.

Cluster Sampling Is the Least Representative Probability Sampling Design