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
$begingroup$
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 $frac3281$
probability expected-value
$endgroup$
add a comment |
$begingroup$
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 $frac3281$
probability expected-value
$endgroup$
$begingroup$
Note: the absolute value brackets. The expected absolute displacement from the mean will not be zero.
$endgroup$
– Graham Kemp
Apr 3 at 0:09
add a comment |
$begingroup$
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 $frac3281$
probability expected-value
$endgroup$
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
probability expected-value
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
add a comment |
$begingroup$
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
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
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.
$endgroup$
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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.
$endgroup$
add a comment |
$begingroup$
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.
$endgroup$
add a comment |
$begingroup$
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.
$endgroup$
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.
answered Apr 2 at 23:19
LoveTooNap29LoveTooNap29
1,1981614
1,1981614
add a comment |
add a comment |
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$begingroup$
Note: the absolute value brackets. The expected absolute displacement from the mean will not be zero.
$endgroup$
– Graham Kemp
Apr 3 at 0:09