A central moment is a statistical measure that captures the average of the deviations of a random variable from its mean, raised to a certain power. Central moments provide valuable insights into the shape and characteristics of a probability distribution, particularly focusing on variance and higher moments such as skewness and kurtosis. The second central moment is especially important as it quantifies the variance, while higher-order central moments reveal additional information about the distribution's behavior.
congrats on reading the definition of Central Moment. now let's actually learn it.