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${\begin{aligned}\operatorname {Var} \left(X\right)&=\sum \limits _{j=1}^{n}\sum \limits _{i=1}^{n}a_{i}a_{j}\operatorname {Cov} (X_{i},X_{j})\\&=\sum \limits _{i=1}^{n}a_{i}^{2}\operatorname {Var} (X_{i})+\sum \limits _{i\neq j}a_{i}a_{j}\operatorname {Cov} (X_{i},X_{j})\\&=\sum \limits _{i=1}^{n}a_{i}^{2}\operatorname {Var} (X_{i})+2\sum \limits _{1\leq i<j\leq n}a_{i}a_{j}\operatorname {Cov} (X_{i},X_{j})\\\end{aligned}}$

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Varianz (Stochastik) – Wikipedia

Russian MILF Mia Capri's Anal Limit Pushed Hard - HER LIMIT

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$I^{2}=\int \limits _{0}^{2\pi }\int \limits _{0}^{\infty }e^{-{\frac {r^{2}}{2}}}rdrd\theta =\int \limits _{0}^{2\pi }[-e^{-{\frac {r^{2}}{2}}}]_{0}^{\infty }d\theta =\int \limits _{0}^{2\pi }1d\theta =2\pi$

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Phân phối chuẩn – Wikipedia tiếng Việt

$I^{2}=\int \limits _{-\infty }^{\infty }\int \limits _{-\infty }^{\infty }e^{-{\frac {x^{2}+y^{2}}{2}}}dxdy=\int \limits _{0}^{2\pi }\int \limits _{0}^{\infty }e^{-{\frac {r^{2}}{2}}}rdrd\theta$

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Phân phối chuẩn – Wikipedia tiếng Việt

$I^{2}=(\int \limits _{-\infty }^{\infty }e^{\frac {-x^{2}}{2}}dx)(\int \limits _{-\infty }^{\infty }e^{\frac {-y^{2}}{2}}dy)=\int \limits _{-\infty }^{\infty }\int \limits _{-\infty }^{\infty }e^{-{\frac {x^{2}+y^{2}}{2}}}dxdy$

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Phân phối chuẩn – Wikipedia tiếng Việt

$={\sqrt {{\frac {\sum \limits _{i=1}^{N}{x_{i}^{2}}}{N}}-2\mu \sum \limits _{i=1}^{N}{\frac {x_{i}}{N}}+N{\frac {\mu ^{2}}{N}}}}={\sqrt {{\frac {\sum \limits _{i=1}^{N}{x_{i}^{2}}}{N}}-2\mu \sum \limits _{i=1}^{N}{\frac {x_{i}}{N}}+\mu ^{2}}}$

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Odchylenie standardowe – Wikipedia, wolna encyk...

$\sigma _{X_{1}+X_{2}+\ldots +X_{k}}={\sqrt {\sum \limits _{i=1}^{k}\sum \limits _{j=1}^{k}\sigma _{X_{i}}\sigma _{X_{j}}\operatorname {corr} (X_{i},X_{j})}}={\sqrt {\sum \limits _{i=1}^{k}\sum \limits _{j=1}^{k}\operatorname {cov} (X_{i},X_{j})}},$

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