Sampling bias occurs when what?

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Multiple Choice

Sampling bias occurs when what?

Sampling bias happens when the data you collect don’t reflect the population because some members are overrepresented or underrepresented. This kind of uneven representation introduces a systematic distortion in the results, making estimates like averages or proportions inaccurate for the whole population. For example, surveying only urban residents to infer national transportation needs would skew results toward city perspectives and miss rural views. If every member had an equal chance of being included and you actually surveyed the whole population, bias wouldn’t occur. So the best description is that the sample’s unequal representation leads to biased conclusions.

Sampling bias happens when the data you collect don’t reflect the population because some members are overrepresented or underrepresented. This kind of uneven representation introduces a systematic distortion in the results, making estimates like averages or proportions inaccurate for the whole population. For example, surveying only urban residents to infer national transportation needs would skew results toward city perspectives and miss rural views. If every member had an equal chance of being included and you actually surveyed the whole population, bias wouldn’t occur. So the best description is that the sample’s unequal representation leads to biased conclusions.

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