The second moment is a statistical measure that captures the variability or spread of a random variable around its mean. It is calculated as the expected value of the square of the deviation of the random variable from its mean, providing insight into the distribution's dispersion. This measure plays a key role in understanding the shape and characteristics of distributions, particularly in relation to variance and standard deviation, and is essential when working with moment generating functions.
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