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Pollsters use random samples during a campaign to ensure that their survey results are representative of the broader population. Random sampling minimizes bias by giving each individual an equal chance of being selected, which enhances the reliability and validity of the data. This approach allows pollsters to make accurate predictions about voter behavior and preferences, informing campaign strategies and decisions. Ultimately, it helps candidates understand public opinion and tailor their messages accordingly.

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What are examples of incorrect sampling?

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