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Consider joint probability distribution given below y fxy (x, у) х 1.0 1 11/32 1/32 1.5...
Please provide correct answer (Very Important) Consider the following joint probability distribution: y fxY (x, y) -1.0 -3 1/8 -0.4 -1 1/4 0. 4 1 1/16 1. 0 3 9/16 Determine the following: (a) Conditional probability distribution of Y given that X = 1 fyll(y) = for y = (b) Conditional probability distribution of X given that Y = 1 fxli (x) = for x = (c) E(X|Y = 1) = (d) Are X and Y independent?
1. The joint probability density function (pdf) of X and Y is given by fxy(x, y) = A (1 – xey, 0<x<1,0 < y < 0 (a) Find the constant A. (b) Find the marginal pdfs of X and Y. (c) Find E(X) and E(Y). (d) Find E(XY). 2. Let X denote the number of times (1, 2, or 3 times) a certain machine malfunctions on any given day. Let Y denote the number of times (1, 2, or 3...
Exercises: 1) The joint distribution of X and Y is given by the following table: y 1.5 2 fxy(x, y) 1/4 1/8 1/4 1/4 1/8 Compute: a) P(X=1.5, Y =2). b) P(X=1, Y =2). c) P(X=1.5). d) P(X<2.5, Y<3) e) P(Y>3) f) E(X), E(Y), V(X) and V(Y). g) The marginal distributions of X and of Y. h) Conditional probability distribution of Y given that X = 1.5. i) E(Y|X=1.5) j) E(XY) k) Are X and Y independent? Explain why or...
If the joint probability distribution of X and Yis given by: fxy)-2xty48,for all x-0,1,2,3 and y-0,1,2 Determine Part a: P(Xs3,Y-1) Part b: P(X+Y-4) Part c: Part d: E(XY)]
1. Consider the joint distribution fXY (x, y) = k · x y (1) over the domain 0 < x < 1, 0 < y < 1, for some k > 0. (a) What value should k have for f to be a proper density? (b) Find the marginal densities of X and Y . Hint: x y = exp[y · log(x)]. (c) Find the mean of Y . (d) Find the conditional mean of Y , given X
The joint probability distribution of the random variables X and Y is: х 0 1 N у 0 1/18 1/9 1/6 1/9 1/18 179 2. 1/6 1/6 1718 Find f(xl y=1)
a. Given the joint probability den- sity function fxy(x, y) as, Skxy, (x, y) e shaded area Jxy(, 9) = 10 otherwise Find [i] k [ii] fx(x) [iii] fy(y) Are X and Y independent? b. Given the joint probability density function fxy(x, y) as, fxy(x, y) = { 0 kxy, (x, y) E shaded area otherwise Find [i] k [ii] fx(x) [iii] fy(y) Are X and Y independent? 2 1
Question 1(a&b) Question 3 (a,b,c,d) QUESTION 1 (15 MARKS) Let X and Y be continuous random variables with joint probability density function 6e.de +3,, х, у z 0 otherwise f(x, y 0 Determine whether or not X and Y are independent. (9 marks) a) b) Find P(x> Y). Show how you get the limits for X and Y (6 marks) QUESTION 3 (19 MARKS) Let f(x, x.) = 2x, , o x, sk: O a) Find k xsl and f(x,...
please explain 4.1) (10 pts) Suppose that X and Y have the joint probability distribution shown in the table, find (a) the marginal distribution of X and call it f1, (b) the marginal distribution of Y and call it f2, (c) f(YIX=2), (d) determine if X and Y are independent or not. Throughout, show your work. f(X,Y) 2 4 у 1 3 0.12 0.38 0.27 0.04 0.12 0.07 |
81. Consider the function g(x, y) given by, 1 1.52.53 11/4 0 0 0 2 0 1/8 0 0 y 3 0 1/4 0 0 4 0 0 1/4 0 5 00 0 1/8 and complete / determine the following: (a) Show that g(x, y) satisfies the properties of a joint pmf. (See Table in ?6.0.1.) (b) P(X < 2.5,Y < 3) (c) P(X < 2.5) (d) P(Y < 3) (e) P(X> 1.8, Y> 4.7) (f) E[X], EY], Var(X), Var(Y)...