The fourth moment of a random variable is a measure of the shape of its probability distribution, specifically indicating how the values of the variable deviate from the mean in terms of their spread. It is calculated as the expected value of the variable raised to the fourth power and provides insights into the tails and kurtosis of the distribution, influencing how we understand extremes and variability in data.
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