Approximation - how to graph a probability density function?












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I was wondering how to graph a probability density function with the following information: https://prnt.sc/lpvnxm.










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    It's better to write the full question here rather than linking to an image. Also, you'll get a better response if you explain what you've tried.
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    – littleO
    Dec 3 '18 at 2:43










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    Related: math.stackexchange.com/q/97/3301 and information on pdf or erf
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    – ja72
    Dec 3 '18 at 3:56


















0












$begingroup$


I was wondering how to graph a probability density function with the following information: https://prnt.sc/lpvnxm.










share|cite|improve this question









$endgroup$












  • $begingroup$
    It's better to write the full question here rather than linking to an image. Also, you'll get a better response if you explain what you've tried.
    $endgroup$
    – littleO
    Dec 3 '18 at 2:43










  • $begingroup$
    Related: math.stackexchange.com/q/97/3301 and information on pdf or erf
    $endgroup$
    – ja72
    Dec 3 '18 at 3:56
















0












0








0





$begingroup$


I was wondering how to graph a probability density function with the following information: https://prnt.sc/lpvnxm.










share|cite|improve this question









$endgroup$




I was wondering how to graph a probability density function with the following information: https://prnt.sc/lpvnxm.







calculus






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asked Dec 3 '18 at 2:13









Andy ZhangAndy Zhang

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  • $begingroup$
    It's better to write the full question here rather than linking to an image. Also, you'll get a better response if you explain what you've tried.
    $endgroup$
    – littleO
    Dec 3 '18 at 2:43










  • $begingroup$
    Related: math.stackexchange.com/q/97/3301 and information on pdf or erf
    $endgroup$
    – ja72
    Dec 3 '18 at 3:56




















  • $begingroup$
    It's better to write the full question here rather than linking to an image. Also, you'll get a better response if you explain what you've tried.
    $endgroup$
    – littleO
    Dec 3 '18 at 2:43










  • $begingroup$
    Related: math.stackexchange.com/q/97/3301 and information on pdf or erf
    $endgroup$
    – ja72
    Dec 3 '18 at 3:56


















$begingroup$
It's better to write the full question here rather than linking to an image. Also, you'll get a better response if you explain what you've tried.
$endgroup$
– littleO
Dec 3 '18 at 2:43




$begingroup$
It's better to write the full question here rather than linking to an image. Also, you'll get a better response if you explain what you've tried.
$endgroup$
– littleO
Dec 3 '18 at 2:43












$begingroup$
Related: math.stackexchange.com/q/97/3301 and information on pdf or erf
$endgroup$
– ja72
Dec 3 '18 at 3:56






$begingroup$
Related: math.stackexchange.com/q/97/3301 and information on pdf or erf
$endgroup$
– ja72
Dec 3 '18 at 3:56












1 Answer
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$begingroup$

$$ f(x) = frac{1}{ sqrt{ 2 pi sigma }} exp bigg( - frac{ (x - mu )^2 }{2 sigma^2 } bigg)$$



Since $e^x approx 1+x $



the Quadratic approximation must be



$$ Q(x) = K bigg(1 - frac{ (x - mu )^2 }{2 sigma^2} bigg)$$
Only valid for $|x - mu | < sqrt2 sigma $



$K$ is a normalization constant that you can calculate by making the requirement



$$ int _{mu- sqrt2 sigma} ^{mu-+sqrt2 sigma} Q(x)dx = 1$$






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    1 Answer
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    active

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    1 Answer
    1






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    oldest

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    active

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    0












    $begingroup$

    $$ f(x) = frac{1}{ sqrt{ 2 pi sigma }} exp bigg( - frac{ (x - mu )^2 }{2 sigma^2 } bigg)$$



    Since $e^x approx 1+x $



    the Quadratic approximation must be



    $$ Q(x) = K bigg(1 - frac{ (x - mu )^2 }{2 sigma^2} bigg)$$
    Only valid for $|x - mu | < sqrt2 sigma $



    $K$ is a normalization constant that you can calculate by making the requirement



    $$ int _{mu- sqrt2 sigma} ^{mu-+sqrt2 sigma} Q(x)dx = 1$$






    share|cite|improve this answer









    $endgroup$


















      0












      $begingroup$

      $$ f(x) = frac{1}{ sqrt{ 2 pi sigma }} exp bigg( - frac{ (x - mu )^2 }{2 sigma^2 } bigg)$$



      Since $e^x approx 1+x $



      the Quadratic approximation must be



      $$ Q(x) = K bigg(1 - frac{ (x - mu )^2 }{2 sigma^2} bigg)$$
      Only valid for $|x - mu | < sqrt2 sigma $



      $K$ is a normalization constant that you can calculate by making the requirement



      $$ int _{mu- sqrt2 sigma} ^{mu-+sqrt2 sigma} Q(x)dx = 1$$






      share|cite|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        $$ f(x) = frac{1}{ sqrt{ 2 pi sigma }} exp bigg( - frac{ (x - mu )^2 }{2 sigma^2 } bigg)$$



        Since $e^x approx 1+x $



        the Quadratic approximation must be



        $$ Q(x) = K bigg(1 - frac{ (x - mu )^2 }{2 sigma^2} bigg)$$
        Only valid for $|x - mu | < sqrt2 sigma $



        $K$ is a normalization constant that you can calculate by making the requirement



        $$ int _{mu- sqrt2 sigma} ^{mu-+sqrt2 sigma} Q(x)dx = 1$$






        share|cite|improve this answer









        $endgroup$



        $$ f(x) = frac{1}{ sqrt{ 2 pi sigma }} exp bigg( - frac{ (x - mu )^2 }{2 sigma^2 } bigg)$$



        Since $e^x approx 1+x $



        the Quadratic approximation must be



        $$ Q(x) = K bigg(1 - frac{ (x - mu )^2 }{2 sigma^2} bigg)$$
        Only valid for $|x - mu | < sqrt2 sigma $



        $K$ is a normalization constant that you can calculate by making the requirement



        $$ int _{mu- sqrt2 sigma} ^{mu-+sqrt2 sigma} Q(x)dx = 1$$







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 3 '18 at 2:45









        WW1WW1

        7,3151712




        7,3151712






























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