PROB5 Let U and V be independent r.v's such that the p.d.f of U is fu(u)...
4. Let X have p.d.f. fx(1),-1 < 2. Find the p.d.f. of Y-X2
3. Let {X1, X2, X3, X4} be independent, identically distributed random variables with p.d.f. f(0) = 2. o if 0<x< 1 else Find EY] where Y = min{X1, X2, X3, X4}.
1. Suppose that the p.d.f. of a random variable X is as follows: for 0<x<2, for 0 〈 x 〈 2. r for 0<< f(x) = 0 otherwise. Let Y - X (2 - X). First determine the c.d.f. of Y, then find its p.d.f. (Hint: when computing c.d.f., plotting the function Y- X(2 - X) which may help. )
(1 point) Let u= (3, 2) and v = (1,5). Then u +v=< 7 U-v=< -30 =< u. V = and || 0 ||
QUESTION 12 Let the random variable X and Y have the joint p.d.f. f(x,y) =(zy for 0< <2, 0 < y <2, and z<y otherwise Find P(0KY <1) 16 QUESTION 13 R eter to question 12. Find P(o < x <3I Y-1).
Let U and V be independent Uniform[0, 1] random variables. (a) Calculate E(Uk) where k > 0 is some fixed constant (b) Calculate E(VU)
PROB 4 Let Xi and X2 be independent exponential random variables each having parameter 1 i.e. fx(x) = le-21, x > 0, (i = 1,2). Let Y1 = X1 + X2 and Y2 = ex. Find the joint p.d.f of Yi and Y2.
4. Let f(x, y, z) = rytan'() + z sin(xy), < = wy=v²v, z = ". Find fu and , using the chain rule.
Exercise 6.17. Let U and V be independent, U~ Unif(0,1), and V~ Gamma(2.A) which means that V has density function fv(1) λ2e-W for v0 and zero elsewhere. Find the joint density function of (X, Y)-. (UV, ( 1-U)V). Identify the joint distribution of (X, Y) In terms of named distributions. This exercise and Example 6.44 are special cases of
Question 2: Let X and Y be i.i.d. r.v.'s with common pdf (de-*, f(t) -At t 2 0, - otherwise (a) (6 marks). Find the joint pdf for U X/(X + Ү) аnd V — X + Y. (b) (2 marks). Find fu(u) and fv(v) (c) (2 marks). Are U and V independent? Why?