Sampling Methods

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5 Terms

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Simple Random Sample

A sample of a given size n is chosen in such a way that

every possible sample of that size is equally likely to be chosen.

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Stratified Sampling

Can reduce sampling variability by identifying

homogeneous subgroups and then randomly sampling within each.

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Cluster Sampling

Randomly select among heterogeneous subgroups and

conduct a census within each cluster. This makes sampling tasks easier.

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Systemic Sampling

Can work in some situations and often the least

expensive type of sampling.