The sample mean is the average value of a set of observations taken from a larger population, calculated by summing all the observed values and dividing by the number of observations. It serves as an important estimate for the population mean and plays a crucial role in understanding the behavior of random variables. The sample mean is foundational in statistical inference, helping to connect individual samples to larger theories such as convergence, distributions, and estimation methods.
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