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This question is about sample vs population.
Accurate data can be collected from a sample when the sample is unbiased. To do this, samples should be randomly selected in a way that accurately represents the population. For example, probability sampling can be used to gather samples from every subsection within the population.
Consider polling the popularity of certain candidates during an election. By randomly selecting groups of Americans from different ethnic, regional, and economic backgrounds, the data collected will be more valid and accurate than a single poll done in San Francisco, CA.

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