Calculate $E(X^2)$ with X uniformly distributed on [-1,2] [closed]












-1












$begingroup$


X is uniformly distributed on $[-1,2]$.

Hence the density function should be $frac13$ and E(X) = $0.5$.

Now I want to calculate $E[X²]$. But to do that I need the density function of $X²$.

This density function should be $0$ except between $0$ and $4$.

Is $E[X²]$ uniformly distributed on $[0,4]$?










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closed as off-topic by Did, Lord_Farin, amWhy, Dando18, Tianlalu Dec 21 '18 at 18:53


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Did, Lord_Farin, amWhy, Dando18, Tianlalu

If this question can be reworded to fit the rules in the help center, please edit the question.
















  • $begingroup$
    "But to do that I need the density function of X²" No, your notes should explain that, for every $g$, $$E(g(X))=int_mathbb Rg(x)f_X(x)dx$$
    $endgroup$
    – Did
    Dec 18 '18 at 14:28










  • $begingroup$
    @Did Why are you answering in a comment?
    $endgroup$
    – Arthur
    Dec 18 '18 at 14:38










  • $begingroup$
    @Arthur Because remarks which suffice to answer the question and amount to "Please open your textbook", are not answers to me.
    $endgroup$
    – Did
    Dec 18 '18 at 14:40










  • $begingroup$
    @Did But they are to the unanswered queue.
    $endgroup$
    – Arthur
    Dec 18 '18 at 14:43










  • $begingroup$
    @Arthur I guess there are several ways to make a question exit the unanswered queue...
    $endgroup$
    – Did
    Dec 18 '18 at 14:44
















-1












$begingroup$


X is uniformly distributed on $[-1,2]$.

Hence the density function should be $frac13$ and E(X) = $0.5$.

Now I want to calculate $E[X²]$. But to do that I need the density function of $X²$.

This density function should be $0$ except between $0$ and $4$.

Is $E[X²]$ uniformly distributed on $[0,4]$?










share|cite|improve this question











$endgroup$



closed as off-topic by Did, Lord_Farin, amWhy, Dando18, Tianlalu Dec 21 '18 at 18:53


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Did, Lord_Farin, amWhy, Dando18, Tianlalu

If this question can be reworded to fit the rules in the help center, please edit the question.
















  • $begingroup$
    "But to do that I need the density function of X²" No, your notes should explain that, for every $g$, $$E(g(X))=int_mathbb Rg(x)f_X(x)dx$$
    $endgroup$
    – Did
    Dec 18 '18 at 14:28










  • $begingroup$
    @Did Why are you answering in a comment?
    $endgroup$
    – Arthur
    Dec 18 '18 at 14:38










  • $begingroup$
    @Arthur Because remarks which suffice to answer the question and amount to "Please open your textbook", are not answers to me.
    $endgroup$
    – Did
    Dec 18 '18 at 14:40










  • $begingroup$
    @Did But they are to the unanswered queue.
    $endgroup$
    – Arthur
    Dec 18 '18 at 14:43










  • $begingroup$
    @Arthur I guess there are several ways to make a question exit the unanswered queue...
    $endgroup$
    – Did
    Dec 18 '18 at 14:44














-1












-1








-1





$begingroup$


X is uniformly distributed on $[-1,2]$.

Hence the density function should be $frac13$ and E(X) = $0.5$.

Now I want to calculate $E[X²]$. But to do that I need the density function of $X²$.

This density function should be $0$ except between $0$ and $4$.

Is $E[X²]$ uniformly distributed on $[0,4]$?










share|cite|improve this question











$endgroup$




X is uniformly distributed on $[-1,2]$.

Hence the density function should be $frac13$ and E(X) = $0.5$.

Now I want to calculate $E[X²]$. But to do that I need the density function of $X²$.

This density function should be $0$ except between $0$ and $4$.

Is $E[X²]$ uniformly distributed on $[0,4]$?







statistics probability-distributions uniform-distribution






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share|cite|improve this question













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share|cite|improve this question








edited Dec 18 '18 at 14:28









idea

2,15041025




2,15041025










asked Dec 18 '18 at 14:25









Luca9984Luca9984

11




11




closed as off-topic by Did, Lord_Farin, amWhy, Dando18, Tianlalu Dec 21 '18 at 18:53


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Did, Lord_Farin, amWhy, Dando18, Tianlalu

If this question can be reworded to fit the rules in the help center, please edit the question.







closed as off-topic by Did, Lord_Farin, amWhy, Dando18, Tianlalu Dec 21 '18 at 18:53


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Did, Lord_Farin, amWhy, Dando18, Tianlalu

If this question can be reworded to fit the rules in the help center, please edit the question.












  • $begingroup$
    "But to do that I need the density function of X²" No, your notes should explain that, for every $g$, $$E(g(X))=int_mathbb Rg(x)f_X(x)dx$$
    $endgroup$
    – Did
    Dec 18 '18 at 14:28










  • $begingroup$
    @Did Why are you answering in a comment?
    $endgroup$
    – Arthur
    Dec 18 '18 at 14:38










  • $begingroup$
    @Arthur Because remarks which suffice to answer the question and amount to "Please open your textbook", are not answers to me.
    $endgroup$
    – Did
    Dec 18 '18 at 14:40










  • $begingroup$
    @Did But they are to the unanswered queue.
    $endgroup$
    – Arthur
    Dec 18 '18 at 14:43










  • $begingroup$
    @Arthur I guess there are several ways to make a question exit the unanswered queue...
    $endgroup$
    – Did
    Dec 18 '18 at 14:44


















  • $begingroup$
    "But to do that I need the density function of X²" No, your notes should explain that, for every $g$, $$E(g(X))=int_mathbb Rg(x)f_X(x)dx$$
    $endgroup$
    – Did
    Dec 18 '18 at 14:28










  • $begingroup$
    @Did Why are you answering in a comment?
    $endgroup$
    – Arthur
    Dec 18 '18 at 14:38










  • $begingroup$
    @Arthur Because remarks which suffice to answer the question and amount to "Please open your textbook", are not answers to me.
    $endgroup$
    – Did
    Dec 18 '18 at 14:40










  • $begingroup$
    @Did But they are to the unanswered queue.
    $endgroup$
    – Arthur
    Dec 18 '18 at 14:43










  • $begingroup$
    @Arthur I guess there are several ways to make a question exit the unanswered queue...
    $endgroup$
    – Did
    Dec 18 '18 at 14:44
















$begingroup$
"But to do that I need the density function of X²" No, your notes should explain that, for every $g$, $$E(g(X))=int_mathbb Rg(x)f_X(x)dx$$
$endgroup$
– Did
Dec 18 '18 at 14:28




$begingroup$
"But to do that I need the density function of X²" No, your notes should explain that, for every $g$, $$E(g(X))=int_mathbb Rg(x)f_X(x)dx$$
$endgroup$
– Did
Dec 18 '18 at 14:28












$begingroup$
@Did Why are you answering in a comment?
$endgroup$
– Arthur
Dec 18 '18 at 14:38




$begingroup$
@Did Why are you answering in a comment?
$endgroup$
– Arthur
Dec 18 '18 at 14:38












$begingroup$
@Arthur Because remarks which suffice to answer the question and amount to "Please open your textbook", are not answers to me.
$endgroup$
– Did
Dec 18 '18 at 14:40




$begingroup$
@Arthur Because remarks which suffice to answer the question and amount to "Please open your textbook", are not answers to me.
$endgroup$
– Did
Dec 18 '18 at 14:40












$begingroup$
@Did But they are to the unanswered queue.
$endgroup$
– Arthur
Dec 18 '18 at 14:43




$begingroup$
@Did But they are to the unanswered queue.
$endgroup$
– Arthur
Dec 18 '18 at 14:43












$begingroup$
@Arthur I guess there are several ways to make a question exit the unanswered queue...
$endgroup$
– Did
Dec 18 '18 at 14:44




$begingroup$
@Arthur I guess there are several ways to make a question exit the unanswered queue...
$endgroup$
– Did
Dec 18 '18 at 14:44










1 Answer
1






active

oldest

votes


















1












$begingroup$

Guide:



You do not need the densitfy function of $X^2$. Suppose $f$ is the densify function of $X$.



To compute the expected value of $g(X)$, you can compute $int_{-1}^2 g(x) f(x) , dx$.



We just have to compute $int_{-1}^2 x^2 f(x) , dx$.



Also, $X^2$ is not uniformly distributed.






share|cite|improve this answer









$endgroup$




















    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1












    $begingroup$

    Guide:



    You do not need the densitfy function of $X^2$. Suppose $f$ is the densify function of $X$.



    To compute the expected value of $g(X)$, you can compute $int_{-1}^2 g(x) f(x) , dx$.



    We just have to compute $int_{-1}^2 x^2 f(x) , dx$.



    Also, $X^2$ is not uniformly distributed.






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      Guide:



      You do not need the densitfy function of $X^2$. Suppose $f$ is the densify function of $X$.



      To compute the expected value of $g(X)$, you can compute $int_{-1}^2 g(x) f(x) , dx$.



      We just have to compute $int_{-1}^2 x^2 f(x) , dx$.



      Also, $X^2$ is not uniformly distributed.






      share|cite|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        Guide:



        You do not need the densitfy function of $X^2$. Suppose $f$ is the densify function of $X$.



        To compute the expected value of $g(X)$, you can compute $int_{-1}^2 g(x) f(x) , dx$.



        We just have to compute $int_{-1}^2 x^2 f(x) , dx$.



        Also, $X^2$ is not uniformly distributed.






        share|cite|improve this answer









        $endgroup$



        Guide:



        You do not need the densitfy function of $X^2$. Suppose $f$ is the densify function of $X$.



        To compute the expected value of $g(X)$, you can compute $int_{-1}^2 g(x) f(x) , dx$.



        We just have to compute $int_{-1}^2 x^2 f(x) , dx$.



        Also, $X^2$ is not uniformly distributed.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 18 '18 at 14:28









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        100k1466117















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