Question

In: Statistics and Probability

Let the random variable and have the joint pmf X Y f(x,y) = {x(y)^2}/c where x...

Let the random variable and have the joint pmf X Y f(x,y) = {x(y)^2}/c
where x = 1, 2, 3 ; y = 1, 2, x+y<= 4, that is (x,y) are {(1,1), (1,2), (2,1), (2,2), 3,1)}
(a) Find . c > 0

(b) Find . μX

(c) Find . μY

(d) Find . σ2 X

(e) Find . σ2 Y

(f) Find Cov . (X,Y )

(g) Find p , Corr . (x,y)

(h) Are and X and Y independent

Solutions

Expert Solution



Related Solutions

Let the random variable X and Y have the joint pmf f(x, y) = , c...
Let the random variable X and Y have the joint pmf f(x, y) = , c xy 2 where x = 1, 2, 3; y = 1, 2, x + y ≤ 4 , that is, (x, y) are {(1, 1),(1, 2),(2, 1),(2, 2),(3, 1)} . (a) Find c > 0 . (b) Find μ . X (c) Find μ . Y (d) Find σ . 2 X (e) Find σ . 2 Y (f) Find Cov (X, Y )...
Let the joint pmf of X and Y be defined by f (x, y) = c(x...
Let the joint pmf of X and Y be defined by f (x, y) = c(x + y), x =0, 1, 2, y = 0, 1, with y ≤ x. 1. Are X and Y independent or dependent? Why or why not? 2. Find g(x | y) and draw a figure depicting the conditional pmfs for y =0 and 1. 3. Find h(y | x) and draw a figure depicting the conditional pmfs for x = 0, 1 and2. 4....
Let the joint pmf of X and Y be defined by f (x, y) = c(x...
Let the joint pmf of X and Y be defined by f (x, y) = c(x + y), x =0, 1, 2, y = 0, 1, with y ≤ x. 1. Find g(x | y) and draw a figure depicting the conditional pmfs for y =0 and 1. 2. Find h(y | x) and draw a figure depicting the conditional pmfs for x = 0, 1 and2. 3. Find P(0 < X <2 |Y = 0), P(X ≤ 2 |Y...
let the random variables x and y have the joint p.m.f f(x,y)= (x+y)/12 where x=1,2 and...
let the random variables x and y have the joint p.m.f f(x,y)= (x+y)/12 where x=1,2 and y=1,2 calculate the covariance of x and y calculate the correlation coefficient of x and y Thank you
let p ( x , y )be a joint pmf of Xand Y. p ( x...
let p ( x , y )be a joint pmf of Xand Y. p ( x , y ) y = 0 y = 1 y = 2 x = 0 .12 .10 .08 x = 1 .13 .17 .10 x = 2 .15 .15 0 (a) Find the marginal pmf's of Xand Y. (b) Determine whether Xand Yare independent. c) Find Correlation (X,Y)
a. Suppose that X is a discrete random variable with pmf f(x) = (2 + θ(2...
a. Suppose that X is a discrete random variable with pmf f(x) = (2 + θ(2 − x))/ 6 , x = 1, 2, 3, where the parameter θ belongs to the parameter space Ω = (θ : −2 < θ < 2). Suppose further that a random sample X1, X2, X3, X4 is taken from this distribution, and the four observed values are {x1, x2, x3, x4} = {3, 2, 3, 1}. Find the maximum likelihood estimate of θ....
Let X and Y be continuous random variables with joint pdf f(x, y) = kxy^2 0...
Let X and Y be continuous random variables with joint pdf f(x, y) = kxy^2 0 < x, 0 < y, x + y < 2 and 0 otherwise 1) Find  P[X ≥ 1|Y ≤ 1.5] 2) Find P[X ≥ 0.5|Y ≤ 1]
SOLUTION REQUIRED WITH COMPLETE STEPS Let X and Y be discrete random variables, their joint pmf...
SOLUTION REQUIRED WITH COMPLETE STEPS Let X and Y be discrete random variables, their joint pmf is given as Px,y = ?(? + ? + 2)/(B + 2) for 0 ≤ X < 3, 0 ≤ Y < 3 (Where B=0) a) Find the value of ? b) Find the marginal pmf of ? and ? c) Find conditional pmf of ? given ? = 2
2. The joint pmf of ? and ? is given by ??,? (?, ?) = (x+y)/27  ???...
2. The joint pmf of ? and ? is given by ??,? (?, ?) = (x+y)/27  ??? ? = 0, 1,2; ? = 1, 2, 3, and ??,? (?, ?) = 0 otherwise. a. Find ?(?|? = ?) for all ? = 0,1, 2. b. Find ?(3 + 0.2?|? = 2).
Let X and Y be two jointly continuous random variables with joint PDF f(x,y) = Mxy^2...
Let X and Y be two jointly continuous random variables with joint PDF f(x,y) = Mxy^2 0<x<y<1 a) Find M = ? b) Find the marginal probability densities. c) P( y> 1/2 | x = .25) = ? d) Corr (x,y) = ?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT