Question

Consider three binary random variables X, Y, Z with domains {+x, -x}, {+y, -y}, and {+z,...

Consider three binary random variables X, Y, Z with domains {+x, -x}, {+y, -y}, and {+z, -z}, respectively. Please use summation notation

a) Express P(X) in terms of the joint distribution P(X,Y,Z)

b) Express P(X) in terms of P(Z), P(Y|Z), and P(X|Y, Z)

c) Expand the sums from part (b) to express the two elements of P(X), (P(+x) and P(-x)) in terms of the individual probabilities (e.g. P(-c) instead of P(C))

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
Consider the random variables X and Y with the following joint probability density function: fX,Y (x,...
Consider the random variables X and Y with the following joint probability density function: fX,Y (x, y) = xe-xe-y, x > 0, y > 0 (a) Suppose that U = X + Y and V = Y/X. Express X and Y in terms of U and V . (b) Find the joint PDF of U and V . (c) Find and identify the marginal PDF of U (d) Find the marginal PDF of V (e) Are U and V independent?
Suppose X, Y, and Z are random variables with the joint density function f(x, y, z)...
Suppose X, Y, and Z are random variables with the joint density function f(x, y, z) = Ce−(0.5x + 0.2y + 0.1z) if x ≥ 0, y ≥ 0, z ≥ 0, and f(x, y, z) = 0 otherwise. (a) Find the value of the constant C. (b) Find P(X ≤ 0.75 , Y ≤ 0.5). (Round answer to five decimal places). (c) Find P(X ≤ 0.75 , Y ≤ 0.5 , Z ≤ 1). (Round answer to six decimal...
Consider the observations jointly taken on the binary random variables X and Y given in the...
Consider the observations jointly taken on the binary random variables X and Y given in the “Problem 1” worksheet in the Excel spreadsheet titled “Sheet 1”. 1. Organize the data in a two-way table by counting the number of observations that fall within each of the following cells: {X = 0, Y = 0}, {X = 0, Y = 1}, {X = 1, Y = 0}, and {X = 1, Y = 1}. 2. Use observed cell counts found in...
If z=(x+4y)ex+y,x=ln(u),y=v,z=(x+4y)ex+y,x=ln(u),y=v, find ∂z∂u∂z∂u and ∂z∂v∂z∂v. The variables are restricted to domains on which the functions...
If z=(x+4y)ex+y,x=ln(u),y=v,z=(x+4y)ex+y,x=ln(u),y=v, find ∂z∂u∂z∂u and ∂z∂v∂z∂v. The variables are restricted to domains on which the functions are defined.
Let X, Y be two random variables with a joint pmf f(x,y)=(x+y)/12 x=1,2 and y=1,2 zero...
Let X, Y be two random variables with a joint pmf f(x,y)=(x+y)/12 x=1,2 and y=1,2 zero elsewhere a)Are X and Y discrete or continuous random variables? b)Construct and joint probability distribution table by writing these probabilities in a rectangular array, recording each marginal pmf in the "margins" c)Determine if X and Y are Independent variables d)Find P(X>Y) e)Compute E(X), E(Y), E(X^2) and E(XY) f)Compute var(X) g) Compute cov(X,Y)
Let X and Y be independent random variables, with X following uniform distribution in the interval...
Let X and Y be independent random variables, with X following uniform distribution in the interval (0, 1) and Y has an Exp (1) distribution. a) Determine the joint distribution of Z = X + Y and Y. b) Determine the marginal distribution of Z. c) Can we say that Z and Y are independent? Good
14. If z=(x+y)ey,x=2t,y=5−t2,z=(x+y)e^y,x=2t,y=5−t^2, find dzdtdzdt using the chain rule. Assume the variables are restricted to domains...
14. If z=(x+y)ey,x=2t,y=5−t2,z=(x+y)e^y,x=2t,y=5−t^2, find dzdtdzdt using the chain rule. Assume the variables are restricted to domains on which the functions are defined.
Give a joint distribution for Boolean random variables A, B, and C for each scenario. Give...
Give a joint distribution for Boolean random variables A, B, and C for each scenario. Give a brief intuitive interpretation of the variables. The notation i(x, y) means that x and y are independent. looking for a basic understanding of independence in the context of probability. answer should explain how these indecencies will impact probabilities.
Consider the following bivariate distribution p(x, y) of two discrete random variables X and Y. Y\X...
Consider the following bivariate distribution p(x, y) of two discrete random variables X and Y. Y\X -2 -1 0 1 2 0 0.01 0.02 0.03 0.10 0.10 1 0.05 0.10 0.05 0.07 0.20 2 0.10 0.05 0.03 0.05 0.04 a) Compute the marginal distributions p(x) and p(y) b) The conditional distributions P(X = x | Y = 1) c) Are these random variables independent? d) Find E[XY] e) Find Cov(X, Y) and Corr(X, Y)
If X and Y are discrete random variables with joint PMF P(X,Y )(x, y) = c(2x+y)(x!...
If X and Y are discrete random variables with joint PMF P(X,Y )(x, y) = c(2x+y)(x! y!) for x = 0, 1, 2, … and y = 0, 1, 2, … and zero otherwise a) Find the constant c. b) Find the marginal PMFs of X and Y. Identify their distribution along with their parameters. c) Are X and Y independent? Why/why not?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT