Stratified sampling allows researchers to identify naturally occurring groups of participants who have a variable in common within the target population.
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Q21: Nonprobability samples involve randomly selecting participants from
Q22: Probability theory holds true when using any
Q23: One advantage of random samples is the
Q24: Stratified sampling is the preferred method in
Q25: Simple random samples are considered by many
Q27: Cluster sampling involves selecting a sample by
Q28: Explain the central limits theorem.
Q29: Explain what sampling is and why we
Q30: When are nonprobability samples appropriate?
Q31: Provide an example to explain cluster sampling.
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