4.1 Sampling Methods

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7 Terms

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Census

A collection of data from every individual in the population

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Simple Random Sample

Like drawing names from a hat—everyone has an equal shot

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Stratified Random Sample

Selects a sample by splitting the population into groups then taking an SRS of each group (ex splitting Stats class into juniors and seniors)

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Cluster Random Sample

Selects a sample by putting groups into clusters and randomly selecting several clusters. Examine each individual in the selected clusters

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Systematic Random Sample

Select a sample by randomly choosing a starting number then look ash every nth (you choose the number) individual after that

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Undercoverage

Some members of the population are less likely to be chosen/cannot be chosen in the sample

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Response Bias

People lie