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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
- Statistics, stratified random sample