Translate and Scale Normal Distribution












0












$begingroup$


Working through some problems in Introduction to Probability, Blitzstein.




Let Z ~ N(0,1). Create an r.v. Y ~ N(1,4), as a simple-looking function of Z. Make sure to check that your Y has the correct mean and variance.




Definition of standardization of Normal Function is:





  • $frac{X-mu}{sigma}$~N(0,1)


Z~N(0,1)



Therefore:





  • $frac{Y-mu}{sigma}$ ~ Z


  • $frac{Y-1}{2}$ ~ Z

  • Y~$2Z+1$


Is that all I'd need to do?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Seems okey for me!
    $endgroup$
    – Ramiro Scorolli
    Dec 3 '18 at 18:54
















0












$begingroup$


Working through some problems in Introduction to Probability, Blitzstein.




Let Z ~ N(0,1). Create an r.v. Y ~ N(1,4), as a simple-looking function of Z. Make sure to check that your Y has the correct mean and variance.




Definition of standardization of Normal Function is:





  • $frac{X-mu}{sigma}$~N(0,1)


Z~N(0,1)



Therefore:





  • $frac{Y-mu}{sigma}$ ~ Z


  • $frac{Y-1}{2}$ ~ Z

  • Y~$2Z+1$


Is that all I'd need to do?










share|cite|improve this question









$endgroup$












  • $begingroup$
    Seems okey for me!
    $endgroup$
    – Ramiro Scorolli
    Dec 3 '18 at 18:54














0












0








0





$begingroup$


Working through some problems in Introduction to Probability, Blitzstein.




Let Z ~ N(0,1). Create an r.v. Y ~ N(1,4), as a simple-looking function of Z. Make sure to check that your Y has the correct mean and variance.




Definition of standardization of Normal Function is:





  • $frac{X-mu}{sigma}$~N(0,1)


Z~N(0,1)



Therefore:





  • $frac{Y-mu}{sigma}$ ~ Z


  • $frac{Y-1}{2}$ ~ Z

  • Y~$2Z+1$


Is that all I'd need to do?










share|cite|improve this question









$endgroup$




Working through some problems in Introduction to Probability, Blitzstein.




Let Z ~ N(0,1). Create an r.v. Y ~ N(1,4), as a simple-looking function of Z. Make sure to check that your Y has the correct mean and variance.




Definition of standardization of Normal Function is:





  • $frac{X-mu}{sigma}$~N(0,1)


Z~N(0,1)



Therefore:





  • $frac{Y-mu}{sigma}$ ~ Z


  • $frac{Y-1}{2}$ ~ Z

  • Y~$2Z+1$


Is that all I'd need to do?







random-variables normal-distribution






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asked Dec 3 '18 at 18:49









user603569user603569

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  • $begingroup$
    Seems okey for me!
    $endgroup$
    – Ramiro Scorolli
    Dec 3 '18 at 18:54


















  • $begingroup$
    Seems okey for me!
    $endgroup$
    – Ramiro Scorolli
    Dec 3 '18 at 18:54
















$begingroup$
Seems okey for me!
$endgroup$
– Ramiro Scorolli
Dec 3 '18 at 18:54




$begingroup$
Seems okey for me!
$endgroup$
– Ramiro Scorolli
Dec 3 '18 at 18:54










1 Answer
1






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oldest

votes


















0












$begingroup$

You also need to verify:



Make sure to check that your Y has the correct mean and variance.


For this, compute mean and variance of $Y$ from given mean and variance of $Z$ using




  1. properties of mean and variance (e.g. linearity in case of mean. What happens in case of variance?).


  2. Relation you have proposed above.



and verify that indeed you get $1$ and $4$.






share|cite|improve this answer









$endgroup$













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    1 Answer
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    1 Answer
    1






    active

    oldest

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    active

    oldest

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    active

    oldest

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    0












    $begingroup$

    You also need to verify:



    Make sure to check that your Y has the correct mean and variance.


    For this, compute mean and variance of $Y$ from given mean and variance of $Z$ using




    1. properties of mean and variance (e.g. linearity in case of mean. What happens in case of variance?).


    2. Relation you have proposed above.



    and verify that indeed you get $1$ and $4$.






    share|cite|improve this answer









    $endgroup$


















      0












      $begingroup$

      You also need to verify:



      Make sure to check that your Y has the correct mean and variance.


      For this, compute mean and variance of $Y$ from given mean and variance of $Z$ using




      1. properties of mean and variance (e.g. linearity in case of mean. What happens in case of variance?).


      2. Relation you have proposed above.



      and verify that indeed you get $1$ and $4$.






      share|cite|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        You also need to verify:



        Make sure to check that your Y has the correct mean and variance.


        For this, compute mean and variance of $Y$ from given mean and variance of $Z$ using




        1. properties of mean and variance (e.g. linearity in case of mean. What happens in case of variance?).


        2. Relation you have proposed above.



        and verify that indeed you get $1$ and $4$.






        share|cite|improve this answer









        $endgroup$



        You also need to verify:



        Make sure to check that your Y has the correct mean and variance.


        For this, compute mean and variance of $Y$ from given mean and variance of $Z$ using




        1. properties of mean and variance (e.g. linearity in case of mean. What happens in case of variance?).


        2. Relation you have proposed above.



        and verify that indeed you get $1$ and $4$.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 3 '18 at 19:00









        DineshDinesh

        471513




        471513






























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