The first moment, often referred to as the expected value or mean of a random variable, is a fundamental concept in probability and statistics that quantifies the center of a distribution. It provides a measure of the central tendency, which is crucial for understanding the behavior of random variables. The first moment is calculated by taking the weighted average of all possible values that a random variable can take, where the weights are given by their probabilities.
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