The second moment is a statistical measure that captures the variability of a random variable around its mean. In the context of continuous distributions, the second moment is calculated as the expected value of the squared deviations from the mean, which is crucial for understanding how spread out the values of the distribution are. This measure is foundational in deriving variance, which quantifies the dispersion of data points in a dataset.
congrats on reading the definition of Second Moment. now let's actually learn it.