What are the differences between population parameters and sample statistics, and why is the distinction important in statistical inference?

Population parameters are numerical characteristics of an entire population, such as the mean or variance, while sample statistics are numerical characteristics derived from a subset of the population. The distinction is crucial in statistical inference because sample statistics are used to estimate population parameters, allowing researchers to make inferences about the entire population based on a sample.

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