(Sec. 5.2, 00) Let X and Y be discrete random variable’s with possible values {−1, 1} and {2, 4} respectively, and
with joint pmf p(x, y) = 2 / (3x * 2y) for x ∈ {−1, 1}, y ∈ {2, 4} and 0 otherwise.
Find: (a) E[X], E[Y ], and E[X + Y ]
(b) E[XY ]
(c) Cov[X, Y ]
(d) Cov[3X + 5, 2 − Y ]
(Sec. 5.2, 00) Let X and Y be discrete random variable’s with possible values {−1, 1}...
4. (Sec. 5.2, 00) Let X and Y be continuous rvs with the joint f(x, y) = 2(x+y), for 0 <y <r <1 and 0 otherwise. (a) Find E(X+Y) and E[X - Y) (b) Find E[XY] (c) Find E[Y|X = x) and E[X Y = y). (d) Find Cov[X,Y]
please show steps, thank you (Sec. 5.2, 00) Suppose X and Y are independent random variables with E[X] = 6, E[Y ] = −3, Var[X] = 9, and Var[Y ] = 25. Find: (a) E[2Y − X] (b) Var[2Y − X] (c) Cov[X, Y ] (d) ρ[X, Y ] (e) Cov[5X + Y, Y ] (f) Cov[X, 2Y − X]
I just need the second problem done. Problem #2 refers to the problem #1. Problem # 1. Let discrete random variables X and Y have joint PMF cy 2,0,2 y=1,0, 1 otherwise = Px.y (x, y) 0 Find: a) Constant c X], P[Y <X], P[X < 1 b) P[Y 2. Let X and Y be the same as in Problem # 1. Find: Problem a) Marginal PMFs Px() and Py(y) b) Expected values E[X] and E[Y] c) Standard deviations ox...
3. Let f(x,y) = xy-1 be the joint pmf/ pdf of two random variables X (discrete) and Y (continuous), for x = 1, 2, 3, 4 and 0 <y < 2. (a) Determine the marginal pmf of X. (b) Determine the marginal pdf of Y. (c) Compute P(X<2 and Y < 1). (d) Explain why X and Y are dependent without computing Cou(X,Y).
4. Let X and Y be continuous random variables with joint density function f(x, y) = { 4x for 0 <x<ys1 otherwise (a) Find the marginal density functions of X and Y, g(x) and h(y), respectively. (b) What are E[X], E[Y], and E[XY]? Find the value of Cov[X, Y]
Question 4: Let X and Y be two discrete random variables with the following joint probability distribution (mass) function Pxy(x, y): a) Complete the following probability table: Y 2 f(x)=P(X=x) 1 3 4 0 0 0.08 0.06 0.05 0.02 0.07 0.08 0.06 0.12 0.05 0.03 0.06 0.05 0.04 0.03 0.01 0.02 0.03 0.04 2 3 foy)=P(Y=y) 0.03 b) What is P(X s 2 and YS 3)? c) Find the marginal probability distribution (mass) function of X; [f(x)]. d) Find the...
The discrete random variables X and Y take integer values with joint probability distribution given by f (x,y) = a(y−x+1) 0 ≤ x ≤ y ≤ 2 or =0 otherwise, where a is a constant. 1 Tabulate the distribution and show that a = 0.1. 2 Find the marginal distributions of X and Y. 3 Calculate Cov(X,Y). 4 State, giving a reason, whether X and Y are independent. 5 Calculate E(Y|X = 1).
ciule jolh! PMF and the marginal PMFs? 6.14 Let X and Y be discrete random variables. Show that the function p: R2 R defined by p(r, y) px(x)pr(y) is a joint PMF by verifying that it satisfies properties (a)-(c) of Proposition 6.1 on page 262. Hint: A subset of a countable set is countable CHAPTER SIX Joindy Discrete Random Variables 6.2 Joint and marginal PMFs of the discrete random variables x numher of bedrooms and momber of bwthrooms of a...
55. Let X and Y be jointly continuous random variables with joint density function fx.y(x,y) be-3y -a < x < 2a, 0) < y < 00, otherwise. Assume that E[XY] = 1/6. (a) Find a and b such that fx,y is a valid joint pdf. You may want to use the fact that du = 1. u 6. и е (b) Find the conditional pdf of X given Y = y where 0 <y < . (c) Find Cov(X,Y). (d)...
Looking for help on question f and beyond 1. Suppose the discrete random variables X and Y have joint pmf (a) Find P(X < 1,Y 2 2) (b) Find P(Y-2) (c) Find P(x -Y) d) Find the marginal pmf of X, fx(x). Be sure to state the support (e) Find E(X) (f) Find the conditional pmf of Y given X- r, fy|x-»(b). Be sure to state the support (and the values a that can be conditioned on) (g) Find the...