Simple random sample or cluster sample or stratified sample?

Statistics for Real-Life Sample Surveys: Non-Simple-Random Samples and Weighted DataA simple random sample is the simplest form of probability sampling and should be used when each population requires an equal chance of selection; for example when a study of the number of people that may purchase a DVD player for Christmas is 20&l=bil&camp=213689&creative=392969&o=1&a=0521674654

A cluster sample is used when we require need a study in depth (case study). This is typically used when we want to minimize costs and we can have a heterogeneous “cluster” per area.

Stratification is utilized when we want to study sub-groups. It can be used well when we are going to use groups that are homogenous within and heterogeneous to each other. It also increases a sample’s statistical efficiency.

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