Sampling bias
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In statistics, sampling bias is a bias in which a sample is collected in such a way that some members of the intended population have a lower sampling probability than others. It results in a biased sample, a non-random sample of a population (or non-human factors) in which all individuals, or instances, were not equally likely to have been selected.
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See also
- Censored regression model
- Cherry picking (fallacy)
- File drawer problem
- Friendship paradox
- Reporting bias
- Sampling probability
- Selection bias
- Spectrum bias
- Truncated regression model
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