Let X and Y be two discrete random variables. We define Z = X+ Y, i.e. Vw e Ω,Ζ(ω) = X(ω) + Y (ω) .
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Please explain if we can use conditional for X|Y or marginal for Z or if there is different approach.
kindly if possible to use more than one approach, would be great.
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- 4. Let X, Y be independent random variables. Prove that E(XY)= E(X) E(Y) and hence show that V(X+Y) = V(X)+V(Y).Let X, Y and Z be three independent random variables such that E(X)=E(Y)=E(Z)=1 and E(X2)-E(Y²)=2E(Z²)=10. Then Var(X+Y+Z) is equal to:If X is a random variable, prove that Cov(X,X) = σX².
- Suppose that X and Y are random variables with E(X) 2 , E(Y) = 5 and E(x?) = 8, E(Y?) = 30 and cov(2X – Y,4X – 3Y) = -12, then cov(-5X – 3,2Y + 4) is equal to: Hint: cov(ax + bY,cX + dY) = acV(X) + bdV(Y) + (bc + ad)cov(X,Y) O -120 O -59 O -64 O -303. Let the random variable X have the pmf f(x) = a) E(X) b) E(X²) c) E(3X²2X + 4) (x+1)² 9 for x = -1,0,1. Computec) Let X and Y be two discrete random variables. We define Z = X + Y, i.e. Vw e Ω,Ζ(ω) = Χ(ω) + Y(ω) . i) Show that: P(Z = 2) = ) _fx,r(x, z – x) ii) Now assume that X and Y are independent. Show that: P(Z = z) = ) fx(x)fy(z- x) = ) fx(z – y)fy(y) ニ From now on, we assume that X and Y are independent random variables which have the Poisson distributions with parameters Ax and Ay, respectively. iii) Show that Z has the Poisson distribution, with parameter Ax + Ay. iv) Show that the conditional distribution of X, given X+ Y = n , is binomial, and find its parameters.
- Assume Y=1+X+u, where X, Y, and u=v+X are random variables, v is independent of X; E(v)=0, Var(v)=1, E(X)=1, and Var(X)=2. a) E(u|X) b) E(Y|X)Let X and Y be two discrete random variables. We define Z = X + Y, i.e. Vw E Q, Z(@) = X(@) + Y (@). i) Show that: P(Z = z) = ) fx.x(x, z – x) ii) Now assume that X and Y are independent. Show that: P(Z = z) = ) fx(x)fr(z- x) = )_fx(z-y)fr(y) X From now on, we assume that X and Y are independent random variables which have the Poisson distributions with parameters Ax and Ay, respectively. iii) Show that Z has the Poisson distribution, with parameter Ax + ly. iv) Show that the conditional distribution of X , given X+ Y = n , is binomial, and find its parameters.ii) Let X be a random variable taking three values: P(X= a₁) = P₁, P(X=a₂) = P2, P(X=a3) = P3, where p₁ + P2 + P3 = 1 and P₁, P2, P3 € (0, 1). Let A = {X = a₁} and G = {N, 0, A, Ac}. Prove that E (X³|G) = a³¹₁ + ª²P² + a²P3, P2 + P3 1A.
- Suppose that X and Y are random variables with E(X) = 2 , E(Y) = 5 and E(X²) = 8, E(Y?) = 30 and cov(X – 2Y,3X – 4Y) = -12, then cov(2X – 3, –5Y + 4) is equal to: Hint: cov(aX + bY,cx + dY) = acV(X) + bdV(Y) + (bc + ad)cov(X,Y) -59 -120 -64 -30Suppose that X and Y are random variables with E(X) = 2, E(Y) = 5 and E(X) = 8, E(Y) = 30 and cov(X + 2Y,-3X+ 4Y) = -12, then cov(2X +3,-3Y +4) is equal to: Hint: cov(aX + bY.cX + dY) = acV(X) + bdV(Y) + (bc + ad)cov(X, Y) -59 O -120 -64 -30Let X ~ N(0, 2) and Y ~ covariances Cov(X,Y) and Cov(Y, X +Y). Exp(A = 3) be two uncorrelated random variables. Find the