Translate and Scale Normal Distribution











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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?










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  • Seems okey for me!
    – Ramiro Scorolli
    Dec 3 at 18:54















up vote
0
down vote

favorite












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






















  • Seems okey for me!
    – Ramiro Scorolli
    Dec 3 at 18:54













up vote
0
down vote

favorite









up vote
0
down vote

favorite











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













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 at 18:49









user603569

598




598












  • Seems okey for me!
    – Ramiro Scorolli
    Dec 3 at 18:54


















  • Seems okey for me!
    – Ramiro Scorolli
    Dec 3 at 18:54
















Seems okey for me!
– Ramiro Scorolli
Dec 3 at 18:54




Seems okey for me!
– Ramiro Scorolli
Dec 3 at 18:54










1 Answer
1






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up vote
0
down vote













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





















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    1 Answer
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    1 Answer
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    active

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    active

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    up vote
    0
    down vote













    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

























      up vote
      0
      down vote













      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























        up vote
        0
        down vote










        up vote
        0
        down vote









        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












        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 at 19:00









        Dinesh

        461513




        461513






























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