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P/momcent-2nd.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: 2020-10-08 05:13:00
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title: "Second central moment is variance"
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chapter: "General Theorems"
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section: "Probability theory"
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topic: "Further moments"
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theorem: "Second central moment is variance"
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sources:
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- authors: "Wikipedia"
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year: 2020
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title: "Moment (mathematics)"
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in: "Wikipedia, the free encyclopedia"
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pages: "retrieved on 2020-10-08"
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url: "https://en.wikipedia.org/wiki/Moment_(mathematics)#Significance_of_the_moments"
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proof_id: "P173"
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shortcut: "momcent-2nd"
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username: "JoramSoch"
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---
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**Theorem:** The second [central moment](/D/mom-cent) equals the [variance](/D/var), i.e.
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$$ \label{eq:momcent-2nd}
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\mu_2 = \mathrm{Var}(X) \; .
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$$
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**Proof:** The second [central moment](/D/mom-cent) of a [random variable](/D/rvar) $X$ with [mean](/D/mean) $\mu$ is defined as
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$$ \label{eq:momcent-2nd-def}
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\mu_2 = \mathrm{E}\left[ (X-\mu)^2 \right]
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$$
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which is equivalent to the [definition of the variance](/D/var):
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$$ \label{eq:momraw-1st-qed}
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\mu_2 = \mathrm{E}\left[ (X - \mathrm{E}(X))^2 \right] = \mathrm{Var}(X) \; .
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$$

P/momraw-1st.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: 2020-10-08 04:19:00
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title: "First raw moment is mean"
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chapter: "General Theorems"
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section: "Probability theory"
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topic: "Further moments"
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theorem: "First raw moment is mean"
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sources:
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proof_id: "P171"
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shortcut: "momraw-1st"
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username: "JoramSoch"
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---
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**Theorem:** The first [raw moment](/D/mom-raw) equals the [mean](/D/mean), i.e.
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$$ \label{eq:momraw-1st}
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\mu_1' = \mu \; .
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$$
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**Proof:** The first [raw moment](/D/mom-raw) of a [random variable](/D/rvar) $X$ is defined as
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$$ \label{eq:momraw-1st-def}
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\mu_1' = \mathrm{E}\left[ (X-0)^1 \right]
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$$
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which is equal to the [expected value](/D/mean) of $X$:
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$$ \label{eq:momraw-1st-qed}
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\mu_1' = \mathrm{E}\left[ X \right] = \mu \; .
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$$

P/momraw-2nd.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: 2020-10-08 05:05:00
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title: "Relationship between second raw moment, variance and mean"
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chapter: "General Theorems"
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section: "Probability theory"
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topic: "Further moments"
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theorem: "Second raw moment and variance"
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sources:
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proof_id: "P172"
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shortcut: "momraw-2nd"
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username: "JoramSoch"
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---
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**Theorem:** The second [raw moment](/D/mom-raw) can be expressed as
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$$ \label{eq:momraw-2nd}
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\mu_2' = \mathrm{Var}(X) + \mathrm{E}(X)^2
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$$
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where $\mathrm{Var}(X)$ is the [variance](/D/var) of $X$ and $\mathrm{E}(X)$ is the [expected value](/D/mean) of $X$.
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**Proof:** The second [raw moment](/D/mom-raw) of a [random variable](/D/rvar) $X$ is defined as
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$$ \label{eq:momraw-2nd-def}
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\mu_2' = \mathrm{E}\left[ (X-0)^2 \right] \; .
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$$
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Using the [partition of variance into expected values](/P/var-mean)
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$$ \label{eq:var-mean}
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\mathrm{Var}(X) = \mathrm{E}(X^2) - \mathrm{E}(X)^2 \; ,
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$$
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the second raw moment can be rearranged into:
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$$ \label{eq:momraw-2nd-qed}
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\mu_2' \overset{\eqref{eq:momraw-2nd-def}}{=} \mathrm{E}(X^2) \overset{\eqref{eq:var-mean}}{=} \mathrm{Var}(X) + \mathrm{E}(X)^2 \; .
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$$

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