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There are three main several sources of errors:

  • The sample is non-representative. This could be through poor sampling design (for example, a convenience sample), lack of knowledge or appreciation of all possible factors that could affect the variable of interest (by introducing some unforeseen bias), or just plain bad luck.
  • There are measurement errors, recording errors, transcription errors and so forth. These can affect samples as well as censuses.
  • The respondent lies. For example, you will rarely get an honest answer about how much people smoke or drink.

Their solutions will generally be similar anywhere, but I cannot be certain about that. So there corresponding solutions will depend on where "there" is.

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