Question

Is it generally true that if the support of (X,Y) is a triangle, then X and...

Is it generally true that if the support of (X,Y) is a triangle, then X and Y are dependent random variables?

Homework Answers

Answer #1

Generally, Yes.

Since the support of the random variables is triangle, that means support of Y depends on X and vice versa. So the conditional distribution of Y will depend on X and vice versa. If conditional distribution depends on other random variable, it can’t be independent.

That’s why generally we have dependency in case of triangular support.

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 have the joint pdf f(x,y) = 6*(x^2)*y for 0 <= x <=...
Let X and Y have the joint pdf f(x,y) = 6*(x^2)*y for 0 <= x <= y and x + y <= 2. What is the marginal pdf of X and Y? What is P(Y < 1.1 | X = 0.6)? Are X and Y dependent random variables?
Consider continuous random variables X and Y whose joint pdf is f(x, y) = 1 with...
Consider continuous random variables X and Y whose joint pdf is f(x, y) = 1 with 0 < y < 1 − |x|. Show that Cov(X, Y ) = 0 even though X and Y are dependent. Note: For this problem, you only need to show that the covariance is zero. You need not show that X and Y are dependent.
Consider continuous random variables X and Y whose joint pdf is f(x, y) = 1 with...
Consider continuous random variables X and Y whose joint pdf is f(x, y) = 1 with 0 < y <1 – abs(x). Show that Cov(X, Y ) = 0 even though X and Y are dependent. Note: For this problem, you only need to show that the covariance is zero. You need not show that X and Y are dependent.
1) Suppose that X and Y are two random variables, which may be dependent and Var(X)=Var(Y)....
1) Suppose that X and Y are two random variables, which may be dependent and Var(X)=Var(Y). Assume that 0<Var(X+Y)<∞ and 0<Var(X-Y)<∞. Which of the following statements are NOT true? (There may be more than one correct answer) a. E(XY) = E(X)E(Y) b. E(X/Y) = E(X)/E(Y) c. (X+Y) and (X-Y) are correlated d. (X+Y) and (X-Y) are not correlated. 2) S.D(X ± Y) is equal to, where S.D means standard deviation a. S.D(X) ± S.D(Y) b. Var(X) ± Var(Y) c. Square...
double integral f(x,y)dA. f(x,y) = cos(x) +sin(y). D is the triangle with vertices (-1,-2), (1,0) and...
double integral f(x,y)dA. f(x,y) = cos(x) +sin(y). D is the triangle with vertices (-1,-2), (1,0) and (-1,2). You might notice cos(x) is an even function, sin(y) is an odd function.
The random variables, X and Y , have the joint pmf f(x,y)=c(x+2y), x=1,2 y=1,2 and zero...
The random variables, X and Y , have the joint pmf f(x,y)=c(x+2y), x=1,2 y=1,2 and zero otherwise. 1. Find the constant, c, such that f(x,y) is a valid pmf. 2. Find the marginal distributions for X and Y . 3. Find the marginal means for both random variables. 4. Find the marginal variances for both random variables. 5. Find the correlation of X and Y . 6. Are the two variables independent? Justify.
1) Probability assumes you know the sample statistics. TRUE/FALSE 2) Let the support of X contain...
1) Probability assumes you know the sample statistics. TRUE/FALSE 2) Let the support of X contain the values {-1,1}. Let the support of Y contain the values {-1000,1000}. True or false: the expectation of X equals the expectation of Y. For both X and Y assume the probabilities for both events are equal. P(X=-1) = 0.5, P(X=1) = 0.5, P(Y=-1000) = 0.5, P(Y=-1000) = 0.5 3)Let the support of X contain the values {-1,1}. Let the support of Y contain...
In triangle EFG and triangle YXZ, m<F=m<X and m<E=m<Y. if m<E=62 degrees and m<X=80 degrees, what...
In triangle EFG and triangle YXZ, m<F=m<X and m<E=m<Y. if m<E=62 degrees and m<X=80 degrees, what is the measure of <Z?
Reflect triangle (2,4),(4,6),(2,6) about line y=(x+4)?
Reflect triangle (2,4),(4,6),(2,6) about line y=(x+4)?
X and Y are independent random variables. The mean and variance of X are 2 and...
X and Y are independent random variables. The mean and variance of X are 2 and 1 respectively. The mean and variance of Y are 3 and 2 respectively. Which of the statements below about the random variable X-Y is true? a. X-Y~Normal(-1,1) b. X-Y~Normal(1,3) c. X-Y has mean -1 and variance 3. d. X-Y has mean 5 and variance 3.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT