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random sample
has the requirement that all members of the population have the same chance of being selected.
systemic sampling
we select some starting point and then select every kth (such as every 50th) element in the population
stratified sampling
we subdivide the population into at least two different subgroups (or strata) so that subjects within the same subgroup share the same characteristics (such as gender). then we draw a sample from each subgroup
cluster sampling
we first divide the population into sections (or clusters) then we randomly select some of those clusters and choose all of the members from those selected clusters