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  "body": "\n## Definition\n\nLet $X$ be a real random variable with $E[|X|^3] \u003c \\infty$, mean $\\mu$ and standard deviation $\\sigma \u003e 0$.\nThe skewness of $X$ is\n$$\\gamma_1 = E\\left[\\left(\\frac{X - \\mu}{\\sigma}\\right)^3\\right] = \\frac{\\mu_3}{\\sigma^3},$$\nwhere $\\mu_3$ is the third [[central moment|0ZT24EC90K]].\n\n## Remarks\n\nA distribution that is symmetric about its mean has skewness $0$. The converse is false.\nPositive skewness usually means a longer tail on the right. Negative skewness usually means a longer tail on the left.\nThe skewness does not change under $X \\mapsto aX + b$ with $a \u003e 0$. For $a \u003c 0$, it changes sign.\nThe exponential distribution has skewness $2$.\n\n## Explanations\n\n### L1 human\n\nSkewness tells to which side a distribution leans.\nIncomes have positive skewness: most values are moderate, and a few are very large.\n",
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