Types of sampling

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5 Terms

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Simple random sample

Each sample of the same size has an equal chance of being selected

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Stratified sample

Divide the population into groups called strata and then take a proportionate number from each stratum

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Cluster sample

divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample

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Systematic sample

Randomly select a starting point and take every n-th piece of data from a listing of the population

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Convenience sampling

involves using results that are readily available