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Unformatted text preview: certain groups and subgroups are available Cluster Sample - Divide population into clusters. Select one or more clusters and include everyone in those clusters in the sample. Systematic Sample - Take every n th item from the sampling frame . Stratified Random Sample Step 1 Divide the sampling frame into groups of individuals called strata. The strata are chosen using some characteristic of the individuals already known and of special interest. Examples race, gender, location Step 2 Take a separate SRS in each stratum and combine these to make up the stratified random sample. Probability Sample a sample chosen by chance A sample chosen in such a way that we know what samples are possible and what chance, or probability, each possible sample has to be chosen (not all need be equally probable)....
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- Spring '07