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Cluster Sampling
Dividing the population into clusters and then selecting one or more clusters at random
Stratified Sampling
Dividing the population into subgroups then selecting randomly from each subgroup
Systematic Sampling
Selecting every kth member of the population
Random Sampling
All members of the population have an equal chance of being selected