Question about Independent Normal Variables

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SUMMARY

The discussion centers on the properties of independent normal variables X and Y, specifically X ~ N(0,1) and Y ~ N(0,2), and their product Z = XY. Key calculations include Var(X) = 1, Var(Y) = 2, and Cov(X,Y) = 0. The user seeks clarification on whether E[(X^2)(Y^2)] equals E[X^2]E[Y^2] and how to compute the variance of Z. Additionally, the user questions the independence of X and Z, leading to a need for proving that E[(X^2)(Z^2)] indicates dependence.

PREREQUISITES
  • Understanding of normal distributions, specifically N(0,1) and N(0,2)
  • Knowledge of variance and covariance formulas
  • Familiarity with the properties of independent random variables
  • Basic concepts of expectation in probability theory
NEXT STEPS
  • Learn about the properties of products of independent random variables
  • Study the computation of E[X^2] and E[Y^2] for normal distributions
  • Research the implications of independence on transformations of random variables
  • Explore the concept of joint distributions and their applications in proving independence
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Students studying probability theory, statisticians analyzing random variables, and anyone interested in the properties of normal distributions and their applications in statistical analysis.

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Homework Statement


Let X,Y be two independent normal N(0,1) and N(0,2) variables, and Z=XY. Suppose that E(X^4)=3
a) Compute Var(X), Var(Y), Var(Z), Cov(X,Y), Cov(Y,Z), Var(X+Y), Var(X+Z)
b) By computing E[(X^2)(Z^2)], prove that X,Z are not independent.

Homework Equations


Var(X)=E(X^2)-E(X)^2
Cov(X,Y)=E[(X-E(X))(Y-E(Y))]

The Attempt at a Solution


I know that Var(X)=1, Var(Y)=2, Cov(X,Y)=0. The others I'm not sure about. I found that Var(Z)=E[(X^2)(Y^2)] but I'm not sure if E[(X^2)(Y^2)]=E[X^2]E[Y^2]? I'm having similar problems with the other parts.
 
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X+Y should be simple. Do you know the variance formula for addition?

I'm not sure if E[(X^2)(Y^2)]=E[X^2]E[Y^2]
Does (X, Y) independent imply that their squares are independent? Can you go from "(X, Y) independent" to "(X^2, Y^2) independent," e.g. by applying FX,Y(x,y) = FX(x)FY(y)?
 
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