1. The problem statement, all variables and given/known data Say X and Y are independent random variables with densities f and g, respectively: f(x) = e^(-x) if x > 0 and 0 if x < 0 g(y) = 2e^(-2y) if y > 0 and 0 if y < 0 Calculate a density function for Y/(X+1) 2. Relevant equations Change of variable? Convolution? Calculating distribution function? 3. The attempt at a solution I know convolution lets you find the addition of densities, but dividing them is something altogether new for me, and I am not sure how to even approach it.