Question

Problems 1. Two independent random variables X and Y have the probability distributions as follows: X...

Problems
1. Two independent random variables X and Y
have the probability distributions as follows:

X 1 2 5
P (X) 0.2 0.5 0.3

Y 2 4
P (Y) 0.7 0.3

a) Let T = X + Y. Find all possible values of T.
Compute μ and . T σ T
b) Let U = X - Y. Find all possible values of U.
Compute μ U and σ U .
c) Show that μ T

= μ X + μ Y

d) Show that μ U

= μ X − μ Y

e) Show that σ X±Y

=/ σ X ± σ Y

f) Show that σ
2
T
= σ
2
U
= σ
2
X + σ
2
Y

2) Let X be a random variable. Prove that the sum of all deviations from E(X) is always zero. Hints: use the properties of P(X) and basic algebra.

3) Let X be a discrete random variable. Prove that sigma (X) can also be written as sigma (X) = Sqrt ( sum [x^2 times P(x)] - E(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
Let x and Y be two discrete random variables, where x Takes values 3 and 4...
Let x and Y be two discrete random variables, where x Takes values 3 and 4 and Y takes the values 2 and 5. Let furthermore the following probabilities be given: P(X=3 ∩ Y=2)= P(3,2)=0.3, P(X=3 ∩ Y=5)= P(3,5)=0.1, P(X=4 ∩ Y=2)= P(4,2)=0.4 and P(X=4∩ Y=5)= P(4,5)=0.2. Compute the correlation between X and Y.
Let x and Y be two discrete random variables, where x Takes values 3 and 4...
Let x and Y be two discrete random variables, where x Takes values 3 and 4 and Y takes the values 2 and 5. Let furthermore the following probabilities be given: P(X=3 ∩ Y=2)= P(3,2)=0.3, P(X=3 ∩ Y=5)= P(3,5)=0.1, P(X=4 ∩ Y=2)= P(4,2)=0.4 and P(X=4∩ Y=5)= P(4,5)=0.2. Compute the correlation between X and Y.
Let X and Y be independent discrete random variables with pmf’s: x 1 2 3 y...
Let X and Y be independent discrete random variables with pmf’s: x 1 2 3 y 2 4 6 p(x) 0.2 0.2 0.6 p(y) 0.3 0.1 0.6 What is the probability that X + Y = 7
Let X and Y be a random variables with the joint probability density function fX,Y (x,...
Let X and Y be a random variables with the joint probability density function fX,Y (x, y) = { e −x−y , 0 < x, y < ∞ 0, otherwise } . a. Let W = max(X, Y ) Compute the probability density function of W. b. Let U = min(X, Y ) Compute the probability density function of U. c. Compute the probability density function of X + Y .
. Let X and Y be two discrete random variables. The range of X is {0,...
. Let X and Y be two discrete random variables. The range of X is {0, 1, 2}, while the range of Y is {1, 2, 3}. Their joint probability mass function P(X,Y) is given in the table below: X\Y        1             2              3 0              0              .25          0 1              .25          0             .25 2              0             .25          0 Compute E[X], V[X], E[Y], V[Y], and Cov(X, Y).
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)
Suppose that you have two discrete random variables X and Y with the following joint probability...
Suppose that you have two discrete random variables X and Y with the following joint probability distribution, which is similar to the example in class. Fill in the marginal probabilities below. Possible Values of X Possible Values of Y 1 2 3 4 1 0 18 18 14 2 18 14 18 0 Please input the exact answer in either decimal or fraction form.
(a) Given two independent uniform random variables X, Y in the interval (−1, 1), find E...
(a) Given two independent uniform random variables X, Y in the interval (−1, 1), find E |X − Y |. (b) Let X, Y be as in (a). Find the support and density of the random variable Z = |X − Y |. (c) From (b), compute the mean of Z and check whether you get the same answer as in (a)
Suppose X,Y are discrete random variables, each taking only two distinct values. Prove that if E(XY)=E(X)E(Y)...
Suppose X,Y are discrete random variables, each taking only two distinct values. Prove that if E(XY)=E(X)E(Y) then X,Y are independent (Be aware that you have to prove E(XY) =E(X)E(Y) -> X,Y independent and NOT the converse)
Let two random variables X and Y satisfy Y |X = x ∼ Poisson (λx) for...
Let two random variables X and Y satisfy Y |X = x ∼ Poisson (λx) for all possible values x from X, with λ being an unknown parameter. If (x1, Y1), ...,(xn, Yn) is a random sample from the random variable Y |X = x, construct the estimator for λ using the method of maximum likelihood and determine its unbiasedness.