Deriving the equation for variance The Next CEO of Stack OverflowHow does one measure the non-uniformity of a distribution?Chi-square independence in political sciencesUnderstanding the role of the chi-squared distribution in the confidence interval for the varianceUsing years when calculating linear regression?Variance in estimating p for a binomial distributionLearning functional analysis for studying kernelsDefine model and interpret multinomial regressionwhat can I take from different sample sizesDoes the expected value of f(x) go down if f is concave and the variance of X increases?Discouraged by simple Bayesian Question

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Deriving the equation for variance



The Next CEO of Stack OverflowHow does one measure the non-uniformity of a distribution?Chi-square independence in political sciencesUnderstanding the role of the chi-squared distribution in the confidence interval for the varianceUsing years when calculating linear regression?Variance in estimating p for a binomial distributionLearning functional analysis for studying kernelsDefine model and interpret multinomial regressionwhat can I take from different sample sizesDoes the expected value of f(x) go down if f is concave and the variance of X increases?Discouraged by simple Bayesian Question










1












$begingroup$


I am trying to understand variance, and when I look at the fully derived equation on wikipedia, I do not understand how we are able to make the jump from B to C.



screenshot of wikipedia



When simplifying, 2(XE[X]) where does the 2X go? I understand how we get 2E[X], but I'm not sure why or how the 2X is able to be removed.



Sorry for this stupid question. I haven't taken a math class in about 7 years, and I'm trying to get back in to it... Thanks for your help :)










share|cite|improve this question









New contributor




snarkshark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$











  • $begingroup$
    This is not a stupid question. It's not just simplifying... notice that B has an expectation of the entire expression, while C does not. (And welcome to CV, snarkshark!)
    $endgroup$
    – Alexis
    6 hours ago







  • 1




    $begingroup$
    Hi, @Alexis :) I noticed that, but I'm still confused. Does E[-2XE[X]] somehow become 1? I dont understand how its eliminated from the equation still :'(
    $endgroup$
    – snarkshark
    6 hours ago










  • $begingroup$
    As an aside, you might read about the self-study tag, and edit your question (the "edit" link at lower left) to inlcude it.
    $endgroup$
    – Alexis
    6 hours ago










  • $begingroup$
    Well simplifying does enter thereafter. What is $E[(-2)]$? What is $E[(X)]$? What is $E[(E[X])]$? And so, what is $E[(-2XE[X])]$?
    $endgroup$
    – Alexis
    5 hours ago











  • $begingroup$
    E[(-2)] = -2 (averaging itself is just itself); E[X] = X; and E[(E[X])] = E[X] = X; so... 𝐸[(−2𝑋𝐸[𝑋])] just ends up being -2X and its removed from the equation because its a constant? Thanks for your patience with my dumb questions ^^;;
    $endgroup$
    – snarkshark
    5 hours ago
















1












$begingroup$


I am trying to understand variance, and when I look at the fully derived equation on wikipedia, I do not understand how we are able to make the jump from B to C.



screenshot of wikipedia



When simplifying, 2(XE[X]) where does the 2X go? I understand how we get 2E[X], but I'm not sure why or how the 2X is able to be removed.



Sorry for this stupid question. I haven't taken a math class in about 7 years, and I'm trying to get back in to it... Thanks for your help :)










share|cite|improve this question









New contributor




snarkshark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$











  • $begingroup$
    This is not a stupid question. It's not just simplifying... notice that B has an expectation of the entire expression, while C does not. (And welcome to CV, snarkshark!)
    $endgroup$
    – Alexis
    6 hours ago







  • 1




    $begingroup$
    Hi, @Alexis :) I noticed that, but I'm still confused. Does E[-2XE[X]] somehow become 1? I dont understand how its eliminated from the equation still :'(
    $endgroup$
    – snarkshark
    6 hours ago










  • $begingroup$
    As an aside, you might read about the self-study tag, and edit your question (the "edit" link at lower left) to inlcude it.
    $endgroup$
    – Alexis
    6 hours ago










  • $begingroup$
    Well simplifying does enter thereafter. What is $E[(-2)]$? What is $E[(X)]$? What is $E[(E[X])]$? And so, what is $E[(-2XE[X])]$?
    $endgroup$
    – Alexis
    5 hours ago











  • $begingroup$
    E[(-2)] = -2 (averaging itself is just itself); E[X] = X; and E[(E[X])] = E[X] = X; so... 𝐸[(−2𝑋𝐸[𝑋])] just ends up being -2X and its removed from the equation because its a constant? Thanks for your patience with my dumb questions ^^;;
    $endgroup$
    – snarkshark
    5 hours ago














1












1








1





$begingroup$


I am trying to understand variance, and when I look at the fully derived equation on wikipedia, I do not understand how we are able to make the jump from B to C.



screenshot of wikipedia



When simplifying, 2(XE[X]) where does the 2X go? I understand how we get 2E[X], but I'm not sure why or how the 2X is able to be removed.



Sorry for this stupid question. I haven't taken a math class in about 7 years, and I'm trying to get back in to it... Thanks for your help :)










share|cite|improve this question









New contributor




snarkshark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




I am trying to understand variance, and when I look at the fully derived equation on wikipedia, I do not understand how we are able to make the jump from B to C.



screenshot of wikipedia



When simplifying, 2(XE[X]) where does the 2X go? I understand how we get 2E[X], but I'm not sure why or how the 2X is able to be removed.



Sorry for this stupid question. I haven't taken a math class in about 7 years, and I'm trying to get back in to it... Thanks for your help :)







self-study variance






share|cite|improve this question









New contributor




snarkshark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|cite|improve this question









New contributor




snarkshark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









share|cite|improve this question




share|cite|improve this question








edited 5 hours ago







snarkshark













New contributor




snarkshark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.









asked 6 hours ago









snarksharksnarkshark

82




82




New contributor




snarkshark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.





New contributor





snarkshark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






snarkshark is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











  • $begingroup$
    This is not a stupid question. It's not just simplifying... notice that B has an expectation of the entire expression, while C does not. (And welcome to CV, snarkshark!)
    $endgroup$
    – Alexis
    6 hours ago







  • 1




    $begingroup$
    Hi, @Alexis :) I noticed that, but I'm still confused. Does E[-2XE[X]] somehow become 1? I dont understand how its eliminated from the equation still :'(
    $endgroup$
    – snarkshark
    6 hours ago










  • $begingroup$
    As an aside, you might read about the self-study tag, and edit your question (the "edit" link at lower left) to inlcude it.
    $endgroup$
    – Alexis
    6 hours ago










  • $begingroup$
    Well simplifying does enter thereafter. What is $E[(-2)]$? What is $E[(X)]$? What is $E[(E[X])]$? And so, what is $E[(-2XE[X])]$?
    $endgroup$
    – Alexis
    5 hours ago











  • $begingroup$
    E[(-2)] = -2 (averaging itself is just itself); E[X] = X; and E[(E[X])] = E[X] = X; so... 𝐸[(−2𝑋𝐸[𝑋])] just ends up being -2X and its removed from the equation because its a constant? Thanks for your patience with my dumb questions ^^;;
    $endgroup$
    – snarkshark
    5 hours ago

















  • $begingroup$
    This is not a stupid question. It's not just simplifying... notice that B has an expectation of the entire expression, while C does not. (And welcome to CV, snarkshark!)
    $endgroup$
    – Alexis
    6 hours ago







  • 1




    $begingroup$
    Hi, @Alexis :) I noticed that, but I'm still confused. Does E[-2XE[X]] somehow become 1? I dont understand how its eliminated from the equation still :'(
    $endgroup$
    – snarkshark
    6 hours ago










  • $begingroup$
    As an aside, you might read about the self-study tag, and edit your question (the "edit" link at lower left) to inlcude it.
    $endgroup$
    – Alexis
    6 hours ago










  • $begingroup$
    Well simplifying does enter thereafter. What is $E[(-2)]$? What is $E[(X)]$? What is $E[(E[X])]$? And so, what is $E[(-2XE[X])]$?
    $endgroup$
    – Alexis
    5 hours ago











  • $begingroup$
    E[(-2)] = -2 (averaging itself is just itself); E[X] = X; and E[(E[X])] = E[X] = X; so... 𝐸[(−2𝑋𝐸[𝑋])] just ends up being -2X and its removed from the equation because its a constant? Thanks for your patience with my dumb questions ^^;;
    $endgroup$
    – snarkshark
    5 hours ago
















$begingroup$
This is not a stupid question. It's not just simplifying... notice that B has an expectation of the entire expression, while C does not. (And welcome to CV, snarkshark!)
$endgroup$
– Alexis
6 hours ago





$begingroup$
This is not a stupid question. It's not just simplifying... notice that B has an expectation of the entire expression, while C does not. (And welcome to CV, snarkshark!)
$endgroup$
– Alexis
6 hours ago





1




1




$begingroup$
Hi, @Alexis :) I noticed that, but I'm still confused. Does E[-2XE[X]] somehow become 1? I dont understand how its eliminated from the equation still :'(
$endgroup$
– snarkshark
6 hours ago




$begingroup$
Hi, @Alexis :) I noticed that, but I'm still confused. Does E[-2XE[X]] somehow become 1? I dont understand how its eliminated from the equation still :'(
$endgroup$
– snarkshark
6 hours ago












$begingroup$
As an aside, you might read about the self-study tag, and edit your question (the "edit" link at lower left) to inlcude it.
$endgroup$
– Alexis
6 hours ago




$begingroup$
As an aside, you might read about the self-study tag, and edit your question (the "edit" link at lower left) to inlcude it.
$endgroup$
– Alexis
6 hours ago












$begingroup$
Well simplifying does enter thereafter. What is $E[(-2)]$? What is $E[(X)]$? What is $E[(E[X])]$? And so, what is $E[(-2XE[X])]$?
$endgroup$
– Alexis
5 hours ago





$begingroup$
Well simplifying does enter thereafter. What is $E[(-2)]$? What is $E[(X)]$? What is $E[(E[X])]$? And so, what is $E[(-2XE[X])]$?
$endgroup$
– Alexis
5 hours ago













$begingroup$
E[(-2)] = -2 (averaging itself is just itself); E[X] = X; and E[(E[X])] = E[X] = X; so... 𝐸[(−2𝑋𝐸[𝑋])] just ends up being -2X and its removed from the equation because its a constant? Thanks for your patience with my dumb questions ^^;;
$endgroup$
– snarkshark
5 hours ago





$begingroup$
E[(-2)] = -2 (averaging itself is just itself); E[X] = X; and E[(E[X])] = E[X] = X; so... 𝐸[(−2𝑋𝐸[𝑋])] just ends up being -2X and its removed from the equation because its a constant? Thanks for your patience with my dumb questions ^^;;
$endgroup$
– snarkshark
5 hours ago











2 Answers
2






active

oldest

votes


















1












$begingroup$

You distribute $E[.]$ operator into each summand, since it is a linear operator by definition. So, the middle term is $E[2XE[X]]=2E[XE[X]]$. When calculated $E[X]$ is constant, and therefore removed from the expectation (let $E[X]=mu$):



$$2E[Xmu]=2mu E[X]=2E[X]E[X]=2E[X]^2$$






share|cite|improve this answer











$endgroup$








  • 1




    $begingroup$
    Hi! Thanks so much for taking the time to answer. A few questions: 1) Why do you put a dot in E[.] operator? Is this some kind of common notation? 2) To clarify, since E[] is essentially just an averaging equation, is that why you can move the 2 outside of the inner E[]? I don't really have the intuition for it being linear and such yet ^^;;
    $endgroup$
    – snarkshark
    5 hours ago






  • 1




    $begingroup$
    @snarkshark, 1. it doesn't have a special meaning. Notationally, dot generally refers to some expression. 2. Intuitionally yes. If average of $X$ is $E[X]$, then average of $aX$ is $aE[X]$. Mathematically, Think about $E[f(X)]=sum f(x)p_X(x)$ for discrete RVs. If $f(X)=aX$, where $a$ is a constant, then $E[aX]=sum axp_X(x)=asum x p_X(x)$. Situation is similar if $sum$ is replaced by $int$ when the variable is continuous.
    $endgroup$
    – gunes
    5 hours ago







  • 1




    $begingroup$
    Ah, I didn't realize that summation symbols always implied discrete :) Thanks! That makes a lot more sense now. Thank you
    $endgroup$
    – snarkshark
    5 hours ago


















1












$begingroup$

The 2X doesn't disappear. When you distribute the E[] operator, it turns into 2E[X]. Thus E[... -2XE[X] + ...] becomes ... - 2E[X]E[X] + ... (because E[E[X]]=E[X]) and then the term simplifies with the other E[X]² term.






share|cite|improve this answer









$endgroup$













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    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1












    $begingroup$

    You distribute $E[.]$ operator into each summand, since it is a linear operator by definition. So, the middle term is $E[2XE[X]]=2E[XE[X]]$. When calculated $E[X]$ is constant, and therefore removed from the expectation (let $E[X]=mu$):



    $$2E[Xmu]=2mu E[X]=2E[X]E[X]=2E[X]^2$$






    share|cite|improve this answer











    $endgroup$








    • 1




      $begingroup$
      Hi! Thanks so much for taking the time to answer. A few questions: 1) Why do you put a dot in E[.] operator? Is this some kind of common notation? 2) To clarify, since E[] is essentially just an averaging equation, is that why you can move the 2 outside of the inner E[]? I don't really have the intuition for it being linear and such yet ^^;;
      $endgroup$
      – snarkshark
      5 hours ago






    • 1




      $begingroup$
      @snarkshark, 1. it doesn't have a special meaning. Notationally, dot generally refers to some expression. 2. Intuitionally yes. If average of $X$ is $E[X]$, then average of $aX$ is $aE[X]$. Mathematically, Think about $E[f(X)]=sum f(x)p_X(x)$ for discrete RVs. If $f(X)=aX$, where $a$ is a constant, then $E[aX]=sum axp_X(x)=asum x p_X(x)$. Situation is similar if $sum$ is replaced by $int$ when the variable is continuous.
      $endgroup$
      – gunes
      5 hours ago







    • 1




      $begingroup$
      Ah, I didn't realize that summation symbols always implied discrete :) Thanks! That makes a lot more sense now. Thank you
      $endgroup$
      – snarkshark
      5 hours ago















    1












    $begingroup$

    You distribute $E[.]$ operator into each summand, since it is a linear operator by definition. So, the middle term is $E[2XE[X]]=2E[XE[X]]$. When calculated $E[X]$ is constant, and therefore removed from the expectation (let $E[X]=mu$):



    $$2E[Xmu]=2mu E[X]=2E[X]E[X]=2E[X]^2$$






    share|cite|improve this answer











    $endgroup$








    • 1




      $begingroup$
      Hi! Thanks so much for taking the time to answer. A few questions: 1) Why do you put a dot in E[.] operator? Is this some kind of common notation? 2) To clarify, since E[] is essentially just an averaging equation, is that why you can move the 2 outside of the inner E[]? I don't really have the intuition for it being linear and such yet ^^;;
      $endgroup$
      – snarkshark
      5 hours ago






    • 1




      $begingroup$
      @snarkshark, 1. it doesn't have a special meaning. Notationally, dot generally refers to some expression. 2. Intuitionally yes. If average of $X$ is $E[X]$, then average of $aX$ is $aE[X]$. Mathematically, Think about $E[f(X)]=sum f(x)p_X(x)$ for discrete RVs. If $f(X)=aX$, where $a$ is a constant, then $E[aX]=sum axp_X(x)=asum x p_X(x)$. Situation is similar if $sum$ is replaced by $int$ when the variable is continuous.
      $endgroup$
      – gunes
      5 hours ago







    • 1




      $begingroup$
      Ah, I didn't realize that summation symbols always implied discrete :) Thanks! That makes a lot more sense now. Thank you
      $endgroup$
      – snarkshark
      5 hours ago













    1












    1








    1





    $begingroup$

    You distribute $E[.]$ operator into each summand, since it is a linear operator by definition. So, the middle term is $E[2XE[X]]=2E[XE[X]]$. When calculated $E[X]$ is constant, and therefore removed from the expectation (let $E[X]=mu$):



    $$2E[Xmu]=2mu E[X]=2E[X]E[X]=2E[X]^2$$






    share|cite|improve this answer











    $endgroup$



    You distribute $E[.]$ operator into each summand, since it is a linear operator by definition. So, the middle term is $E[2XE[X]]=2E[XE[X]]$. When calculated $E[X]$ is constant, and therefore removed from the expectation (let $E[X]=mu$):



    $$2E[Xmu]=2mu E[X]=2E[X]E[X]=2E[X]^2$$







    share|cite|improve this answer














    share|cite|improve this answer



    share|cite|improve this answer








    edited 5 hours ago

























    answered 6 hours ago









    gunesgunes

    6,6551215




    6,6551215







    • 1




      $begingroup$
      Hi! Thanks so much for taking the time to answer. A few questions: 1) Why do you put a dot in E[.] operator? Is this some kind of common notation? 2) To clarify, since E[] is essentially just an averaging equation, is that why you can move the 2 outside of the inner E[]? I don't really have the intuition for it being linear and such yet ^^;;
      $endgroup$
      – snarkshark
      5 hours ago






    • 1




      $begingroup$
      @snarkshark, 1. it doesn't have a special meaning. Notationally, dot generally refers to some expression. 2. Intuitionally yes. If average of $X$ is $E[X]$, then average of $aX$ is $aE[X]$. Mathematically, Think about $E[f(X)]=sum f(x)p_X(x)$ for discrete RVs. If $f(X)=aX$, where $a$ is a constant, then $E[aX]=sum axp_X(x)=asum x p_X(x)$. Situation is similar if $sum$ is replaced by $int$ when the variable is continuous.
      $endgroup$
      – gunes
      5 hours ago







    • 1




      $begingroup$
      Ah, I didn't realize that summation symbols always implied discrete :) Thanks! That makes a lot more sense now. Thank you
      $endgroup$
      – snarkshark
      5 hours ago












    • 1




      $begingroup$
      Hi! Thanks so much for taking the time to answer. A few questions: 1) Why do you put a dot in E[.] operator? Is this some kind of common notation? 2) To clarify, since E[] is essentially just an averaging equation, is that why you can move the 2 outside of the inner E[]? I don't really have the intuition for it being linear and such yet ^^;;
      $endgroup$
      – snarkshark
      5 hours ago






    • 1




      $begingroup$
      @snarkshark, 1. it doesn't have a special meaning. Notationally, dot generally refers to some expression. 2. Intuitionally yes. If average of $X$ is $E[X]$, then average of $aX$ is $aE[X]$. Mathematically, Think about $E[f(X)]=sum f(x)p_X(x)$ for discrete RVs. If $f(X)=aX$, where $a$ is a constant, then $E[aX]=sum axp_X(x)=asum x p_X(x)$. Situation is similar if $sum$ is replaced by $int$ when the variable is continuous.
      $endgroup$
      – gunes
      5 hours ago







    • 1




      $begingroup$
      Ah, I didn't realize that summation symbols always implied discrete :) Thanks! That makes a lot more sense now. Thank you
      $endgroup$
      – snarkshark
      5 hours ago







    1




    1




    $begingroup$
    Hi! Thanks so much for taking the time to answer. A few questions: 1) Why do you put a dot in E[.] operator? Is this some kind of common notation? 2) To clarify, since E[] is essentially just an averaging equation, is that why you can move the 2 outside of the inner E[]? I don't really have the intuition for it being linear and such yet ^^;;
    $endgroup$
    – snarkshark
    5 hours ago




    $begingroup$
    Hi! Thanks so much for taking the time to answer. A few questions: 1) Why do you put a dot in E[.] operator? Is this some kind of common notation? 2) To clarify, since E[] is essentially just an averaging equation, is that why you can move the 2 outside of the inner E[]? I don't really have the intuition for it being linear and such yet ^^;;
    $endgroup$
    – snarkshark
    5 hours ago




    1




    1




    $begingroup$
    @snarkshark, 1. it doesn't have a special meaning. Notationally, dot generally refers to some expression. 2. Intuitionally yes. If average of $X$ is $E[X]$, then average of $aX$ is $aE[X]$. Mathematically, Think about $E[f(X)]=sum f(x)p_X(x)$ for discrete RVs. If $f(X)=aX$, where $a$ is a constant, then $E[aX]=sum axp_X(x)=asum x p_X(x)$. Situation is similar if $sum$ is replaced by $int$ when the variable is continuous.
    $endgroup$
    – gunes
    5 hours ago





    $begingroup$
    @snarkshark, 1. it doesn't have a special meaning. Notationally, dot generally refers to some expression. 2. Intuitionally yes. If average of $X$ is $E[X]$, then average of $aX$ is $aE[X]$. Mathematically, Think about $E[f(X)]=sum f(x)p_X(x)$ for discrete RVs. If $f(X)=aX$, where $a$ is a constant, then $E[aX]=sum axp_X(x)=asum x p_X(x)$. Situation is similar if $sum$ is replaced by $int$ when the variable is continuous.
    $endgroup$
    – gunes
    5 hours ago





    1




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    $begingroup$
    Ah, I didn't realize that summation symbols always implied discrete :) Thanks! That makes a lot more sense now. Thank you
    $endgroup$
    – snarkshark
    5 hours ago




    $begingroup$
    Ah, I didn't realize that summation symbols always implied discrete :) Thanks! That makes a lot more sense now. Thank you
    $endgroup$
    – snarkshark
    5 hours ago













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    $begingroup$

    The 2X doesn't disappear. When you distribute the E[] operator, it turns into 2E[X]. Thus E[... -2XE[X] + ...] becomes ... - 2E[X]E[X] + ... (because E[E[X]]=E[X]) and then the term simplifies with the other E[X]² term.






    share|cite|improve this answer









    $endgroup$

















      1












      $begingroup$

      The 2X doesn't disappear. When you distribute the E[] operator, it turns into 2E[X]. Thus E[... -2XE[X] + ...] becomes ... - 2E[X]E[X] + ... (because E[E[X]]=E[X]) and then the term simplifies with the other E[X]² term.






      share|cite|improve this answer









      $endgroup$















        1












        1








        1





        $begingroup$

        The 2X doesn't disappear. When you distribute the E[] operator, it turns into 2E[X]. Thus E[... -2XE[X] + ...] becomes ... - 2E[X]E[X] + ... (because E[E[X]]=E[X]) and then the term simplifies with the other E[X]² term.






        share|cite|improve this answer









        $endgroup$



        The 2X doesn't disappear. When you distribute the E[] operator, it turns into 2E[X]. Thus E[... -2XE[X] + ...] becomes ... - 2E[X]E[X] + ... (because E[E[X]]=E[X]) and then the term simplifies with the other E[X]² term.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered 2 hours ago









        Anony-MousseAnony-Mousse

        30.7k54180




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