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  "body": "\n## Definition\n\nLet $X$ be a real random variable and let $k \\ge 1$ be an integer with $E[|X|^k] \u003c \\infty$.\nThe $k$-th moment of $X$ is\n$$m_k = E[X^k].$$\nThe $k$-th absolute moment is $E[|X|^k]$.\n\n## Remarks\n\nBy the [[law of the unconscious statistician|01ZWX875AT]], $m_k = \\int x^k \\, \\mu_X(dx)$. So the moments depend only on the law $\\mu_X$ of $X$.\nThe first moment is the mean. The variance is $m_2 - m_1^2$.\nIf $E[|X|^k] \u003c \\infty$, then $E[|X|^j] \u003c \\infty$ for each $j \\le k$.\nThe [[Cauchy distribution|0NA6Q82YR7]] has no moments of order $k \\ge 1$.\n\n## Explanations\n\n### L1 human\n\nMoments are numbers that sum up the shape of a distribution.\nThe first gives the center, the second with the first gives the spread, and the higher ones describe asymmetry and the weight of the tails.\n",
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