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Undercoverage bias
When a part of the population is excluded and the sample is not varied enough
Non-response bias
When individuals chosen for the sample fail to respond
Response bias
When anything in the survey design influences people to give innacurate answers
Randomness
Allows for findings about a sample to be generalizable to the population