Suppose that X and Y are independent random variables with X ~ Exp(1.5) and Y ~ Unif[0, 1]. (a) Give the joint density of (X,Y) as a function on R². (b) Set up an iterated integral to compute P(2 < X – 2Y < 4), but do not evaluate the integral.

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Suppose that \( X \) and \( Y \) are independent random variables with \( X \sim \text{Exp}(1.5) \) and \( Y \sim \text{Unif}[0, 1] \).

(a) Give the joint density of \( (X, Y) \) as a function on \( \mathbb{R}^2 \).

(b) Set up an iterated integral to compute \( P(2 \leq X - 2Y \leq 4) \), but do not evaluate the integral.
Transcribed Image Text:Suppose that \( X \) and \( Y \) are independent random variables with \( X \sim \text{Exp}(1.5) \) and \( Y \sim \text{Unif}[0, 1] \). (a) Give the joint density of \( (X, Y) \) as a function on \( \mathbb{R}^2 \). (b) Set up an iterated integral to compute \( P(2 \leq X - 2Y \leq 4) \), but do not evaluate the integral.
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