Let A be a "random point" that coincides with the point a₁, a2, a3 or a4 with equal probabil- ities. Y

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Economics
Let A be a "random point" that coincides with the point a1, a2, a3 or a4 with equal probabil-
ities.
a3
1
-1
Y
a2
0
as
1 ai
X
Let a random variable X be the first coordinate of the point A, a random variable Y be the
second coordinate of the point A.
(a) Find the joint distribution of random variables X and Y.
(b) Find the marginal distribution of X and Y.
(c) Find the cumulative distribution functions of X and Y.
(d) Compute E[X] and E[Y].
(e) Compute Var[X], Var[Y], Cov(X, Y), Corr (X, Y).
(f) Find the conditional distribution of Y given X = -1,0, 1.
(g) Compute E[Y|X = −1], E[Y|X = 0], E[Y|X = 1].
(h) Characterize a random variable E[Y|X].
(i) Verify the Law of Iterated Expectations by checking E[Y] = E[E[Y|X]].
(j) Is the point with coordinates (E[X], E[Y]) in the support of A?
(k) Are the random variables X and Y correlated? Independent? Discuss.
(1) What would the joint distribution be if the random variables X and Y are independent
and their marginal distributions do not change.
Transcribed Image Text:Economics Let A be a "random point" that coincides with the point a1, a2, a3 or a4 with equal probabil- ities. a3 1 -1 Y a2 0 as 1 ai X Let a random variable X be the first coordinate of the point A, a random variable Y be the second coordinate of the point A. (a) Find the joint distribution of random variables X and Y. (b) Find the marginal distribution of X and Y. (c) Find the cumulative distribution functions of X and Y. (d) Compute E[X] and E[Y]. (e) Compute Var[X], Var[Y], Cov(X, Y), Corr (X, Y). (f) Find the conditional distribution of Y given X = -1,0, 1. (g) Compute E[Y|X = −1], E[Y|X = 0], E[Y|X = 1]. (h) Characterize a random variable E[Y|X]. (i) Verify the Law of Iterated Expectations by checking E[Y] = E[E[Y|X]]. (j) Is the point with coordinates (E[X], E[Y]) in the support of A? (k) Are the random variables X and Y correlated? Independent? Discuss. (1) What would the joint distribution be if the random variables X and Y are independent and their marginal distributions do not change.
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