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Mathematics, 14.01.2020 17:31 mayamabjishovrvq9
For any two random variables x, y the covariance is defined as cov(x, y ) = e[(x − e[x])(y − e[y ])]. you may assume x and y take on a discrete values if you find that is easier to work with.
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For any two random variables x, y the covariance is defined as cov(x, y ) = e[(x − e[x])(y − e[y ])]...
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