The joint distribution of two continuous random variables $X$ and $Y$ are given by: $f_{X,Y}(x,y) = Cxy$, for $0\leq x\leq y\leq 1$, and $0$ elsewhere. 1. Find $C$ to make $f_{X,Y}(x,y)$ a valid probability density function. Enter the numerical value of $C$ here: 2. What should be the correct PDF for $f_X(x)$: A. $f_X(x) = 2x$ for $0\leq x\leq 1$, and $0$ elsewhere. B. $f_X(x) = 3x^2$ for $0\leq x\leq 1$, and $0$ elsewhere. C. $f_X(x) = 4x(1-x^2)$ for $0\leq x\leq 1$, and $0$ elsewhere. D. $f_X(x) = \frac{3}{2}(1-x^2)$ for $0\leq x\leq y\leq 1$, and $0$ elsewhere. Enter your answer for subquestion 2. here (only A, B, C, or D is accepted) 3. What should be the correct PDF for $f_Y(y)$: A. $f_Y(y) = 2y$ for $0\leq y\leq 1$, and $0$ elsewhere. B. $f_Y(y) = 3y^2$ for $0\leq y\leq 1$, and $0$ elsewhere. C. $f_Y(y) = 4y(1-y^2)$ for $0\leq y\leq 1$, and $0$ elsewhere. D. $f_Y(y) = 4y^3$ for $0\leq y\leq 1$, and $0$ elsewhere. Enter your answer for subquestion 3. here (only A, B, C, or D is accepted) 4. Are $X$ and $Y$ independent? If YES, enter Y, if NO, enter N. Enter your answer here for subquestion 4. here (only Y or N is accepted) 5. Find the covariance of $X$ and $Y$. Enter your answer here for subquestion 5. here (round up to 4 decimal points)
The joint pdf of X and Y is

1) To make f(x,y) a valid pdf, it has to integrate to 1 over the ranges of X and Y

Ans C=8
the joint pdf of X,Y is

2. the marginal pdf of X is

Formally the pdf of X is

ans: C.
3) The marginal pdf of Y is

Formally the pdf of Y is

ans: D
4) X and Y are independent if the product of marginal pdfs of X and Y is equal to the joint pdf of X and Y
Here, the product is

Since the product of marginal pdfs of X and Y is not equal to the joint pdf of X and Y
X and Y are not independent
ans: N
5) The covariance of X,y is

First the expectations
The expectation of X is

the expectation of Y is

the expectation of XY is

The covariance of X and Y is

ans: 0.0178
The joint distribution of two continuous random variables $X$ and $Y$ are given by: $f_{X,Y}(x,y) =...
The joint distribution of two continuous random variables X and Y are given by: [xx{xy) = Cry, for OSIS ys 1, and 0 elsewhere a) (2pt) Find C to make fxy(x,y) a valid probability density function. Enter the numerical value of C here: b) (2pt) What should be the correct PDF for x(x); 1. fx (I) = 2r for 0 5r31, and elsewhere. 2. fx(x) = 3-2 for 0 Sis 1 and 0 elsewhere. 3. fx (x) = 4r(1 –...
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X and Y are random variables with the joint PDF: f(x,y)= cxy^2 where 0<=x<=9; 0<=y<=9 0 otherwise find: - constant c - P[min(X,Y) <= 4.5] - P[max(X,Y) <= 6.75]
Question 3 [17 marks] The random variables X and Y are continuous, with joint pdf 0 y otherwise ce fxx (,y) a) Show that cye fr (y) otherwise and hence that c = 1. What is this pdf called? (b) Compute E (Y) and var Y; (c) Show that { > 0 fx (a) e otherwise (d) Are X and Y independent? Give reasons; (e) Show that 1 E(XIY 2 and hence show that E (XY) =.
Question 3 [17...
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Problem 3: X and Y are jointly continuous with joint pdf 0<x<2, 0<y<x+1 f(x,y) = 17 0, Elsewhere a) Find P(X < 1, Y < 2). b) Find marginal pdf's of X. c) f(x|y=1). d) Find E(XY). dulrahim
The joint probability density function (PDF) of random variables X and Y is given by: f(x,y) = 4xy for 0 ≤ y ≤ x ≤ 1, and = 0 elsewhere The mean of the random variable X is:
4. Suppose that the joint pdf of the random variables X and Y is given by f(x, y) = cx^2 + xy 3 , if 0 < x < 1, 0 < y < 2 0, otherwise. (a) Find the constant value (b) Find the marginal pdf of X. Include the support. (c) Find the conditional density function Y given X = x, i.e., f(y|x) (d) Find the conditional expectation E(Y |X = x). (e) Are X and Y independent?...