Exercise 7 (team 5) Let Xi and X2 have joint pdf x1 + x2 if0<x1 <...
Please do by hand. Thanks in advance. 5. Let X1 and X2 have joint pdf f(x1, x2) = 4xı, for 0 < x < x2 < l; and 0 otherwise. Find the pdf of Y = X/X2. (Hint: First find the joint pdf of Y and Y2 = X1.)
Let X1 and X2 have a joint pdf Let Find the joint pdf of Y1 and Y2. f(x, y) = + y, 0<x,y<1
7. (15 points) Let Xi and X2 be the position of two points drawn uniformly randomly and independently from the interval [0, 1]. Define Y = max(X,Xy) and Z-X1 + X2. (1) Calculate the joint PDF of Y and Z. (2) Derive the marginal PDF of both Y and Z. Are Y and Z independent? 7. (15 points) Let Xi and X2 be the position of two points drawn uniformly randomly and independently from the interval [0, 1]. Define Y...
1. Let X1 and X2 have the joint pdf f(x1, x2) = 2e-11-22, 0 < 11 < 1 2 < 0o, zero elsewhere. Find the joint pdf of Yı = 2X1 and Y2 = X2 – Xı.
3. Let (X1, X2) have the joint p.d.f 1 if 0 <1,0 < <1 f(1, ) else Find P(X1X2 < 0.5)
5. Suppose that three random variables Xi, X2, and X3 have a continuous joint distribution with the following p.d.f. (x1+2x2+3z3) and f(1, r2, 3) 0 otherwise. (a) Determine the value of the constant c; (b) Find the marginal joint p.d.f. of Xi and X3; (c) Find P(Xi < 1|X2-2, X3-1)
The joint density of random variables X1, X2 is given by fx1,x2 (x1, 2)= 6x1, for 0 < xı < 1, 0 2 <1 - r Let Y X1X2. Find the joint density of Yi and Y2 Х1, Y?
12. (8 Pts.) Let Xi and X2 have the joint PDF Let Yi Xi/X2 and Y2 = Xy. Find the joint PDF of(H.)a). Are Y1 and Y2 independent?
216 CHAPTER 5 MULTIPLE RANDOM VARIA 5.10.3. The random variables X1, ... , Xn have the joint PDF (1 0<xi 31; fx1...Xn (21, ... , Xn) = { i= 1,...,n, lo otherwise. Find (a) The joint CDF, Fx1,...,xn(x1, ..., In), (b) P[min(X1, X2, X3) < 3/4).
Consider two random variables X and X2 with the joint pdf Nn.za) ={Orm ekewhere 1, o?r2 < 1 Let Y X,X2 and Y2X2 be a joint transformation of (Xi, X2) (a) Find the support of (Y.%) and sketch it. (b) Find the inverse transformation. (c) Compute the Jacobian of the inverse transformation (d) Compute the joint pdf of (Yi, Y2) (e) Derive the marginal pdf of Y? from the joint pdf of (y,,Y2).