Suppose the random variables X and Y form a bivariate normal
distribution. You are given that E[X] = 3, E[Y ] = −2, σX = 4, and
σY = 3. Find the probability that X and Y are within 3 of each
other under the following additional assumptions:
(a) Corr(X, Y ) = 0
(b) Corr(X, Y ) = −0.6
Given below is a bivariate distribution for the random variables
x and y.
f(x,
y)
x
y
0.3
50
80
0.2
30
50
0.5
40
60
(a)
Compute the expected value and the variance for x and
y.
E(x)
=
E(y)
=
Var(x)
=
Var(y)
=
(b)
Develop a probability distribution for
x + y.
x + y
f(x +
y)
130
80
100
(c)
Using the result of part (b), compute
E(x +
y)
and
Var(x +
y).
E(x...
Suppose the joint probability distribution of X and Y is given
by the following table.
Y=>3 6 9 X
1 0.2 0.2 0
2 0.2 0 0.2
3 0 0.1 0.1
The table entries represent the probabilities. Hence the
outcome [X=1,Y=6] has probability
0.2.
a) Compute E(X), E(X2), E(Y), and E(XY). (For all answers show
your work.) b) Compute E[Y | X = 1], E[Y | X = 2], and E[Y | X =
3].
c) In this case, E[Y...
2. Prove the following properties.(b) Prove that x + ¯ xy = x + y.3. Consider the following Boolean function: F = x¯ y + xy¯ z +
xyz(a) Draw a circuit diagram to obtain the output F. (b) Use the
Boolean algebra theorems to simplify the output function F into the
minimum number of input literals.
X and Y are discrete random variables with joint distribution
given below Y 1 Y 0 Y 1 X 1 0 1/4 0
X 0 1/4 1/4 1/4
(a) Determine the conditional expectation E Y|X 1 . (b)
Determine the conditional expectation E X|Y y for each value of y.
(c) Determine the expected value of X using conditional expectation
results form part (b)
above. (d) Now obatin the marginal distribution of X and verify
your answers to part (c).
Let X and Y have joint discrete distribution p(x, y) = 3 20 (.5
x ) (.7 y ), x = 0, 1, 2, . . . , and y = 0, 1, 2, . . .. Find the
marginal probability function P(X = x). [hint: for a geometric
series X∞ n=0 arn with −1 < r < 1, r 6= 0, then X∞ n=0 arn =
a 1 − r ]