Sampling

Weighting

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Intermediate2 min read
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What does it mean?

Weighting assigns different contributions using information such as selection probabilities or known population distributions.

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An everyday example

First-year students make up 40% of the population but 20% of your sample. A simple adjustment by year increases their relative weight.

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Weighting eliminates all sampling and measurement errors.

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Sources and further reading

Explore the foundations and methodological details in these resources. Examples on this page were created for illustration.