Let X, Y be two random variables such that the conditional density function of Y given that Xx is e-y/2, 0≤y<∞, elsewhere. f(y\X = x) = { { {e-u/², 0, Suppose that P(X = 4) = 1. (a) Find the unconditional mean and variance of Y Now suppose that X is a Geometric random variable with p = 1/4. (b) Find the conditional mean and variance of Y given X = x. (c) Find the unconditional mean and variance of Y and compare to the mean and variance in (a).

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Let X, Y be two random variables such that the conditional density function of Y given
that Xx is
e=y/x₂
f(y\X = x) = { / e-v/², 0≤y
0,
elsewhere.
Suppose that P(X = 4) = 1.
(a) Find the unconditional mean and variance of Y
Now suppose that X is a Geometric random variable with p = 1/4.
(b) Find the conditional mean and variance of Y given X = x.
(c) Find the unconditional mean and variance of Y and compare to the mean and
variance in (a).
Transcribed Image Text:Let X, Y be two random variables such that the conditional density function of Y given that Xx is e=y/x₂ f(y\X = x) = { / e-v/², 0≤y 0, elsewhere. Suppose that P(X = 4) = 1. (a) Find the unconditional mean and variance of Y Now suppose that X is a Geometric random variable with p = 1/4. (b) Find the conditional mean and variance of Y given X = x. (c) Find the unconditional mean and variance of Y and compare to the mean and variance in (a).
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