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  "body": "\n## Definition\n\nLet $X$ be a random sample whose law $P_\\theta$ depends on an unknown parameter $\\theta$ in a set $\\Theta$.\nA *pivotal quantity* is a function $g(X, \\theta)$ of the sample and the parameter with the following property.\nThe [[law|0QB913WM5E]] of the [[random variable|0DKRR22AEQ]] $g(X, \\theta)$ under $P_\\theta$ is the same for every $\\theta \\in \\Theta$.\n\n## Remarks\n\nExample: let $X_1, \\dots, X_n$ be i.i.d. $\\mathcal{N}(\\mu, \\sigma^2)$ with $\\theta = (\\mu, \\sigma^2)$ unknown, let $\\bar X$ be the sample mean and $S$ the sample standard deviation.\nThen $T = \\sqrt{n}(\\bar X - \\mu)/S$ has Student's t-distribution with $n - 1$ degrees of freedom for every $\\theta$, so $T$ is a pivotal quantity.\nNon-example: in the same model, $\\sqrt{n}(\\bar X - \\mu)$ is not pivotal, since its law $\\mathcal{N}(0, \\sigma^2)$ depends on $\\sigma^2$.\nA pivotal quantity need not be a statistic, since it may involve $\\theta$.\nIf $P_\\theta(a \\le g(X, \\theta) \\le b) = 1 - \\alpha$ for every $\\theta$, then the set $\\set{\\theta : a \\le g(X, \\theta) \\le b}$ is a [[confidence region|0K4NMMJBG2]] of level $1 - \\alpha$.\n",
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