2.3.3. Let f(¤1, 2) = 21rf, 0 < 01 < ¢2 < 1, zero elsewhere, be the joint pdf of X1 and X2. (a) Find the conditional mean and variance of X1, given X2 = x2, 0 < T2 < 1. (b) Find the distribution of Y = E(X1|X2). (c) Determine E(Y) and Var(Y) and compare these to E(X1) and Var(X1), re- spectively.

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**2.3.3.** Let \(f(x_1, x_2) = 21x_1^2 x_2^3\), \(0 < x_1 < x_2 < 1\), zero elsewhere, be the joint pdf of \(X_1\) and \(X_2\).

**(a)** Find the conditional mean and variance of \(X_1\), given \(X_2 = x_2\), \(0 < x_2 < 1\).

**(b)** Find the distribution of \(Y = E(X_1|X_2)\).

**(c)** Determine \(E(Y)\) and \(\text{Var}(Y)\) and compare these to \(E(X_1)\) and \(\text{Var}(X_1)\), respectively.
Transcribed Image Text:**2.3.3.** Let \(f(x_1, x_2) = 21x_1^2 x_2^3\), \(0 < x_1 < x_2 < 1\), zero elsewhere, be the joint pdf of \(X_1\) and \(X_2\). **(a)** Find the conditional mean and variance of \(X_1\), given \(X_2 = x_2\), \(0 < x_2 < 1\). **(b)** Find the distribution of \(Y = E(X_1|X_2)\). **(c)** Determine \(E(Y)\) and \(\text{Var}(Y)\) and compare these to \(E(X_1)\) and \(\text{Var}(X_1)\), respectively.
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