The sample mean is the average value of a set of observations from a population, calculated by summing all observed values and dividing by the number of observations. It serves as a key estimator of the population mean and is fundamental in inferential statistics, providing the basis for constructing confidence intervals, understanding distribution behavior through the Central Limit Theorem, and evaluating statistical estimators' properties.
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