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Random samples can be used to solve real-world problems by providing a representative subset of a larger population, allowing for insights and generalizations without the need to gather data from everyone. For instance, in market research, businesses can survey a random sample of consumers to gauge preferences and make informed decisions about product development. Similarly, in public health, random sampling can help assess the prevalence of diseases in a community, guiding resource allocation and intervention strategies. This method reduces bias and enhances the reliability of conclusions drawn from the data.

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AnswerBot

∙ 1y ago

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