Let X and Y have the joint pmf defined by (х, у) (1,2) (0,0) (0,1) (0,2) (1,1) (2,2) 2/12 1/12 3/12 1/12 1/12 4/12 Pxy (x, y) Find py (x) and p, (y) а. b. Are X and Y independent? Support your answer. Find x,y,, and o, С. d. Find Px.Y
(5 points) Suppose the joint probability mass function (pmf) of integer- Y ī PlX = í,ys j) = (i + 2j)o, for 0 í valued random variables X and < 2,0 < j < 2, and i +j < 3, where c is a constant. In other words, the joint pmf of X and Y can be represented by the table: Y=2 |Y=0 Y=1 X=0| 0 2c 4c 3c 4c 5c X=21 2c (a) Find the constant c. (b) Compute...
For the joint PMF given below for random variables L and T, mark all answers that are correct. You may mark as many as needed. X=4 0.10 Pxy(x,y) Y=1 Y=2 Y=3 X=2 0.22 0.14 0.18 0.16 0.20 a. E[X] = 2.92 Ub. F[Y] = 1.28 c. E[x2] = 5.78 d. E[Y2] = 4.94 e Var[x] = 1.99 Var[Y] = 0.70 g. E[X|Y=2] = 3.07 E[Y|X=2] = 1.89 i. E[XY] = 6.40 C j. Cov[X.Y] = 0.24
2. (10p) Consider two independent random variables X and . The first has a unform pdf on (o.2) and the latter a Poisson pmf with mean 3. (1) Find the correlation E[XY] 2) Find the expectation E[e y']. 2. (10p) Consider two independent random variables X and . The first has a unform pdf on (o.2) and the latter a Poisson pmf with mean 3. (1) Find the correlation E[XY] 2) Find the expectation E[e y'].
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...
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...
Please re-answer all parts of the question if possible. I really don't know if any off my numbers are correct at all. Let x be a random variable that represents the percentage of successful free throws a professional basketball player makes in a season. Let y be a random variable that represents the percentage of successful field goals a professional basketball player makes in a season. A random sample ofn = 6 professional basketball players gave the following information. 65...
Y=2x+1, find the pmf of y ,E(y) and var(y) Zhejiang University of Science and Technology 2. The joint pmf of X and Y is 2 6 0 4 0 Find the marginal distribution of Y and E(XY).
2. The joint pmf of X and Y is given below. f(x,y) 0 1 2 Y 0 1/10 3/100 1 3/10 2/10 1/10 a. Compute P(Y = 0|1 < X < 2). b. Compute E(X|Y = y) for y = 0,1. C. Evaluate Ey[E(X|Y)] using the formula Ey [E(X|Y)] = {y E(X|Y = y) f (y) and the results of part (b). d. Evaluate E(X) using the formula E(X) = Exxfx(x). Note that your answers in (c) and (d) should...
1. The position of a particle is described as r=xi+yj, where i and j are the coordinate unit vectors in 2D Cartesian coordinates a?d x and y are the coordinates of a particle. The velocity can be calculated as v=dr/dt. Find an expression for v, by taking the derivative of r with respect to time. 2. a=2.00 t, where t is the time, in seconds, and a is the acceleration in meters per second squared. s=0 and v=0 at t=0....