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P/corr-ind.md

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---
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layout: proof
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mathjax: true
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author: "Joram Soch"
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affiliation: "BCCN Berlin"
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e_mail: "joram.soch@bccn-berlin.de"
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date: 2024-09-27 12:32:50
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title: "Independent random variables are uncorrelated"
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chapter: "General Theorems"
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section: "Probability theory"
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topic: "Correlation"
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theorem: "Correlation under independence"
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sources:
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- authors: "StatProofBook"
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year: 2022
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title: "Uncorrelated random variables are not necessarily independent."
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in: "X"
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pages: "Nov 22, 2022, 06:34 AM"
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url: "https://x.com/StatProofBook/status/1594927275514134528"
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proof_id: "P472"
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shortcut: "corr-ind"
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username: "JoramSoch"
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---
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**Theorem:** [Independent](/D/ind) [random variables](/D/rvar) are uncorrelated.
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**Proof:** The [correlation](/D/corr) of two random variables is defined as:
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$$ \label{eq:corr}
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\mathrm{Corr}(X,Y) = \frac{\mathrm{Cov}(X,Y)}{\sqrt{\mathrm{Var}(X)} \sqrt{\mathrm{Var}(Y)}} \; .
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$$
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The [covariance of independent random variables is zero](/P/cov-ind):
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$$ \label{eq:cov-ind}
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X, Y \; \text{independent} \quad \Rightarrow \quad \mathrm{Cov}(X,Y) = 0 \; .
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$$
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Thus, the correlation of independent random variables is also zero:
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$$ \label{eq:corr-ind-qed}
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X, Y \; \text{independent} \quad \Rightarrow \quad \mathrm{Corr}(X,Y) = 0 \; .
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$$

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