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Question
The variance of \(X\) is: [...]
Answer

\(\begin{aligned}\operatorname{Var}[X] & =\mathbf{E}\left[(X-\mathbf{E}[X])^2\right] \\& =\int_{\Omega}(X(\omega)-\mathbf{E}[X])^2 P(d \omega)=\int_{\mathbb{R}}(x-\mathbf{E}[X])^2 \mu(d x)\end{aligned}\)


Question
The variance of \(X\) is: [...]
Answer
?

Question
The variance of \(X\) is: [...]
Answer

\(\begin{aligned}\operatorname{Var}[X] & =\mathbf{E}\left[(X-\mathbf{E}[X])^2\right] \\& =\int_{\Omega}(X(\omega)-\mathbf{E}[X])^2 P(d \omega)=\int_{\mathbb{R}}(x-\mathbf{E}[X])^2 \mu(d x)\end{aligned}\)

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随机变量的方差
The variance of \(X\) is: \(\begin{aligned}\operatorname{Var}[X] & =\mathbf{E}\left[(X-\mathbf{E}[X])^2\right] \\& =\int_{\Omega}(X(\omega)-\mathbf{E}[X])^2 P(d \omega)=\int_{\mathbb{R}}(x-\mathbf{E}[X])^2 \mu(d x)\end{aligned}\)

Summary

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

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