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  "body": "\n## Summary\n\nA pivotal quantity is a function of the data and the unknown parameter whose law does not depend on the parameter.\nIt is the standard tool to build a [[confidence interval|0S6T9KQNC0]]: one fixes an interval of probability $1 - \\alpha$ for the pivot and solves for the parameter.\nMany classical intervals, such as the Student t interval for a normal mean, come from a pivot.\n\n## Explanations\n\n### L1 human\n\nA statistic cannot contain the unknown parameter, but a pivot may.\nThe point is that the pivot has a known law whatever the true parameter is.\nFor example, if $X$ is normal with unknown mean $\\mu$ and variance $1$, then $X - \\mu$ is standard normal for every $\\mu$.\nSo $X - \\mu$ lies in $[-1.96, 1.96]$ with probability about $0.95$, and this gives the interval $[X - 1.96, X + 1.96]$ for $\\mu$.\n",
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