Question

5.1.8 Determine the value of c that makes the function f(x, y) = c(x + y)...

5.1.8 Determine the value of c that makes the function f(x, y) = c(x + y) a joint probability density function over the range 0 < x < 3 and x < y < x + 2. c = (give the exact answer in the form of fraction) Determine the following. Round your answers in a-f to four decimal places.

a. P(X < 1, Y < 2) =

b. P(1 < X < 2) =

c. P(Y > 1) =

d. P(X < 2, Y < 2) =

e. E(X) =

f. V(X) =

g. Marginal probability distribution of X. fX(x) =

for ___ < x < _____

h. Conditional probability distribution of Y given that X = 1. fY|X(y) =

for ____ < y < ____

i. E(Y|X = 1) = (round the answer to four decimal places)

j. P(Y > 2|X = 1) = (round the answer to four decimal places)

k. Conditional probability distribution of X given that Y = 2. fX|Y=2(x) =

for ______ < x < _______

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
4. Let X and Y be random variables having joint probability density function (pdf) f(x, y)...
4. Let X and Y be random variables having joint probability density function (pdf) f(x, y) = 4/7 (xy − y), 4 < x < 5 and 0 < y < 1 (a) Find the marginal density fY (y). (b) Show that the marginal density, fY (y), integrates to 1 (i.e., it is a density.) (c) Find fX|Y (x|y), the conditional density of X given Y = y. (d) Show that fX|Y (x|y) is actually a pdf (i.e., it integrates...
For continuous random variables X and Y with joint probability density function. f(x,y) = xe−(x+y) when...
For continuous random variables X and Y with joint probability density function. f(x,y) = xe−(x+y) when x > 0 and y > 0 f(x,y) = 0 otherwise a. Find the conditional density F xly (xly) b. Find the marginal probability density function fX (x) c. Find the marginal probability density function fY (y). d. Explain if X and Y are independent
Given the joint probability density function f ( x , y ) for 0 < x...
Given the joint probability density function f ( x , y ) for 0 < x < 3 and 0 < y < 2 x^2y/81 Find the conditional probability distribution of X=1 given that Y = 1 f ( x , y ) = x^2 y/ 81 . F i n d the conditional probability distribution of X=1 given that Y = 1. i . e . f (X ∣ y = 1 )( 1 )
1. Let (X,Y ) be a pair of random variables with joint pdf given by f(x,y)...
1. Let (X,Y ) be a pair of random variables with joint pdf given by f(x,y) = 1(0 < x < 1,0 < y < 1). (a) Find P(X + Y ≤ 1). (b) Find P(|X −Y|≤ 1/2). (c) Find the joint cdf F(x,y) of (X,Y ) for all (x,y) ∈R×R. (d) Find the marginal pdf fX of X. (e) Find the marginal pdf fY of Y . (f) Find the conditional pdf f(x|y) of X|Y = y for 0...
X and Y are continuous random variables. Their joint probability density function is given as f(x,y)...
X and Y are continuous random variables. Their joint probability density function is given as f(x,y) = 1/5 (y+2) for 0<y<1 and y-1<x<y+1. Calculate the conditional expectation E(x/y=0). Please show all the work and explain if the answer will be a number or just y in a given range.
A joint density function is given by fX,Y (x, y) = ( kx, 0 < x...
A joint density function is given by fX,Y (x, y) = ( kx, 0 < x < 1, 0 < y < 1 0, otherwise. (a) Calculate k (b) Calculate marginal density function fX(x) (c) Calculate marginal density function fY (y) (d) Compute P(X < 0.5, Y < 0.1) (e) Compute P(X < Y ) (f) Compute P(X < Y |X < 0.5) (g) Are X and Y independent random variables? Show your reasoning (no credit for yes/no answer). (h)...
Suppose that the joint probability density function of the random variables X and Y is f(x,...
Suppose that the joint probability density function of the random variables X and Y is f(x, y) = 8 >< >: x + cy^2 0 ≤ x ≤ 1, 0 ≤ y ≤ 1 0 otherwise. (a) Sketch the region of non-zero probability density and show that c = 3/ 2 . (b) Find P(X + Y < 1), P(X + Y = 1) and P(X + Y > 1). (c) Compute the marginal density function of X and Y...
The joint density function of (X, Y ) is f(x, y) = c(x + y), 0...
The joint density function of (X, Y ) is f(x, y) = c(x + y), 0 ≤ y ≤ x ≤ 1. (1) Find c. (2) Find the conditional density f(y|x). (3) Find P(Y > 0.3|X = 0.5).
QUESTION : Given: fx,y(x,y)=be^-(x+y) for 0<x<a and 0<y<Infinity and =0 elsewhere a) Use Property 2 to...
QUESTION : Given: fx,y(x,y)=be^-(x+y) for 0<x<a and 0<y<Infinity and =0 elsewhere a) Use Property 2 to determine the value of b that will make this a valid density function. Ans: b=1/(1-e^-a) b) Use Property 3 to determine Fx,y(x,y) Ans: Fxy=(1-e^-x)(1-e^-y)/(1-e^-a) c) Take the derivative of Fx,y(x,y) to show that it equals fx,y(x,y). ANSWERS ARE GIVEN FOR A,B JUST PROVIDE THE STEPS Properties of Joint Distribution Functions: 2) ??,?(∞, ∞) = ? Example Given: ??,?(?, ?) = 0.2?(? − 1)?(? −...
Let X and Y have the joint probability density function f(x, y) = ⎧⎪⎪ ⎨ ⎪⎪⎩...
Let X and Y have the joint probability density function f(x, y) = ⎧⎪⎪ ⎨ ⎪⎪⎩ ke−y , if 0 ≤ x ≤ y < ∞, 0, otherwise. (a) (6pts) Find k so that f(x, y) is a valid joint p.d.f. (b) (6pts) Find the marginal p.d.f. fX(x) and fY (y). Are X and Y independent?