Expectation of PDF Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)Calculating the pdf and cdf of $X^2$ and $X^3$ with the pdf of $X$ givenFind E1/x if we are given a density function with continuos random variableChange of random variablesFind the PDF of Y given Y=X(2-X) and X's PDFFind continuous stochastic variable $X$ with PDF $f_X = frac1x^2$Transformation of PDFRearranging bounds for marginal PDF of joint PDFThe problem for conditional expectationPDF of a continuous uniform random variable conditioned on another continuous uniform random variableExpected value given joint PDF

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Expectation of PDF



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)Calculating the pdf and cdf of $X^2$ and $X^3$ with the pdf of $X$ givenFind E1/x if we are given a density function with continuos random variableChange of random variablesFind the PDF of Y given Y=X(2-X) and X's PDFFind continuous stochastic variable $X$ with PDF $f_X = frac1x^2$Transformation of PDFRearranging bounds for marginal PDF of joint PDFThe problem for conditional expectationPDF of a continuous uniform random variable conditioned on another continuous uniform random variableExpected value given joint PDF










0












$begingroup$


Let $X$ be a continuous random variable with density function



$$f(x)=begincases
fracx2 & textif; 0 leq x leq 2& \ \
0 &textotherwise&
endcases$$



What is $E[|X-E[X]|]$?



I've tried to evaluate E(X). And wouldn't the answer be 0?



But instead the answer given is $frac3281$










share|cite|improve this question











$endgroup$











  • $begingroup$
    Note: the absolute value brackets. The expected absolute displacement from the mean will not be zero.
    $endgroup$
    – Graham Kemp
    Apr 3 at 0:09















0












$begingroup$


Let $X$ be a continuous random variable with density function



$$f(x)=begincases
fracx2 & textif; 0 leq x leq 2& \ \
0 &textotherwise&
endcases$$



What is $E[|X-E[X]|]$?



I've tried to evaluate E(X). And wouldn't the answer be 0?



But instead the answer given is $frac3281$










share|cite|improve this question











$endgroup$











  • $begingroup$
    Note: the absolute value brackets. The expected absolute displacement from the mean will not be zero.
    $endgroup$
    – Graham Kemp
    Apr 3 at 0:09













0












0








0





$begingroup$


Let $X$ be a continuous random variable with density function



$$f(x)=begincases
fracx2 & textif; 0 leq x leq 2& \ \
0 &textotherwise&
endcases$$



What is $E[|X-E[X]|]$?



I've tried to evaluate E(X). And wouldn't the answer be 0?



But instead the answer given is $frac3281$










share|cite|improve this question











$endgroup$




Let $X$ be a continuous random variable with density function



$$f(x)=begincases
fracx2 & textif; 0 leq x leq 2& \ \
0 &textotherwise&
endcases$$



What is $E[|X-E[X]|]$?



I've tried to evaluate E(X). And wouldn't the answer be 0?



But instead the answer given is $frac3281$







probability expected-value






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Apr 2 at 15:39









Chinnapparaj R

6,91221030




6,91221030










asked Apr 2 at 15:36









MathxxMathxx

3,41211545




3,41211545











  • $begingroup$
    Note: the absolute value brackets. The expected absolute displacement from the mean will not be zero.
    $endgroup$
    – Graham Kemp
    Apr 3 at 0:09
















  • $begingroup$
    Note: the absolute value brackets. The expected absolute displacement from the mean will not be zero.
    $endgroup$
    – Graham Kemp
    Apr 3 at 0:09















$begingroup$
Note: the absolute value brackets. The expected absolute displacement from the mean will not be zero.
$endgroup$
– Graham Kemp
Apr 3 at 0:09




$begingroup$
Note: the absolute value brackets. The expected absolute displacement from the mean will not be zero.
$endgroup$
– Graham Kemp
Apr 3 at 0:09










1 Answer
1






active

oldest

votes


















1












$begingroup$

Let's evaluate $mathbbE(X)$ step by step. By definition, if $X$ is a continuous RV with PDF $f(x)$ then $mathbbE(X)=int_mathbbR x f(x) mathrmdx$. In your case since $f(x)=0$ outside of the interval $[0,2]$ we have
$$mathbbE(X)=int_0^2 x cdot fracx2 mathrmdx=frac12 int_0^2 x^2 mathrmdx$$
$$=frac12 cdotfrac13 x^3 |_0^2=frac16 (8-0)=frac86=frac43neq 0,$$
which is clearly non-zero. You should carefully check your integration, since this is but basic rules of integration—all that was used is the power rule $int x^n mathrmdx=frac1n+1 x^n+1$ and it is really not a matter of probability at this point once you know the definition of $mathbbE(X)$, it's just routine calculus).
Can you now compute $int |x-4/3| fracx2 mathrmdx$? Note you will have to split it up based of the definition of absolute value and find the appropriate limits of integration.






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    1 Answer
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    1 Answer
    1






    active

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    active

    oldest

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    active

    oldest

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    1












    $begingroup$

    Let's evaluate $mathbbE(X)$ step by step. By definition, if $X$ is a continuous RV with PDF $f(x)$ then $mathbbE(X)=int_mathbbR x f(x) mathrmdx$. In your case since $f(x)=0$ outside of the interval $[0,2]$ we have
    $$mathbbE(X)=int_0^2 x cdot fracx2 mathrmdx=frac12 int_0^2 x^2 mathrmdx$$
    $$=frac12 cdotfrac13 x^3 |_0^2=frac16 (8-0)=frac86=frac43neq 0,$$
    which is clearly non-zero. You should carefully check your integration, since this is but basic rules of integration—all that was used is the power rule $int x^n mathrmdx=frac1n+1 x^n+1$ and it is really not a matter of probability at this point once you know the definition of $mathbbE(X)$, it's just routine calculus).
    Can you now compute $int |x-4/3| fracx2 mathrmdx$? Note you will have to split it up based of the definition of absolute value and find the appropriate limits of integration.






    share|cite|improve this answer









    $endgroup$

















      1












      $begingroup$

      Let's evaluate $mathbbE(X)$ step by step. By definition, if $X$ is a continuous RV with PDF $f(x)$ then $mathbbE(X)=int_mathbbR x f(x) mathrmdx$. In your case since $f(x)=0$ outside of the interval $[0,2]$ we have
      $$mathbbE(X)=int_0^2 x cdot fracx2 mathrmdx=frac12 int_0^2 x^2 mathrmdx$$
      $$=frac12 cdotfrac13 x^3 |_0^2=frac16 (8-0)=frac86=frac43neq 0,$$
      which is clearly non-zero. You should carefully check your integration, since this is but basic rules of integration—all that was used is the power rule $int x^n mathrmdx=frac1n+1 x^n+1$ and it is really not a matter of probability at this point once you know the definition of $mathbbE(X)$, it's just routine calculus).
      Can you now compute $int |x-4/3| fracx2 mathrmdx$? Note you will have to split it up based of the definition of absolute value and find the appropriate limits of integration.






      share|cite|improve this answer









      $endgroup$















        1












        1








        1





        $begingroup$

        Let's evaluate $mathbbE(X)$ step by step. By definition, if $X$ is a continuous RV with PDF $f(x)$ then $mathbbE(X)=int_mathbbR x f(x) mathrmdx$. In your case since $f(x)=0$ outside of the interval $[0,2]$ we have
        $$mathbbE(X)=int_0^2 x cdot fracx2 mathrmdx=frac12 int_0^2 x^2 mathrmdx$$
        $$=frac12 cdotfrac13 x^3 |_0^2=frac16 (8-0)=frac86=frac43neq 0,$$
        which is clearly non-zero. You should carefully check your integration, since this is but basic rules of integration—all that was used is the power rule $int x^n mathrmdx=frac1n+1 x^n+1$ and it is really not a matter of probability at this point once you know the definition of $mathbbE(X)$, it's just routine calculus).
        Can you now compute $int |x-4/3| fracx2 mathrmdx$? Note you will have to split it up based of the definition of absolute value and find the appropriate limits of integration.






        share|cite|improve this answer









        $endgroup$



        Let's evaluate $mathbbE(X)$ step by step. By definition, if $X$ is a continuous RV with PDF $f(x)$ then $mathbbE(X)=int_mathbbR x f(x) mathrmdx$. In your case since $f(x)=0$ outside of the interval $[0,2]$ we have
        $$mathbbE(X)=int_0^2 x cdot fracx2 mathrmdx=frac12 int_0^2 x^2 mathrmdx$$
        $$=frac12 cdotfrac13 x^3 |_0^2=frac16 (8-0)=frac86=frac43neq 0,$$
        which is clearly non-zero. You should carefully check your integration, since this is but basic rules of integration—all that was used is the power rule $int x^n mathrmdx=frac1n+1 x^n+1$ and it is really not a matter of probability at this point once you know the definition of $mathbbE(X)$, it's just routine calculus).
        Can you now compute $int |x-4/3| fracx2 mathrmdx$? Note you will have to split it up based of the definition of absolute value and find the appropriate limits of integration.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Apr 2 at 23:19









        LoveTooNap29LoveTooNap29

        1,1981614




        1,1981614



























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