1. The problem statement, all variables and given/known data Given a random variable X with a known distribution (e.g. a beta distribution), find the distribution of f(X) = X^2 + X 3. The attempt at a solution I've tried the normal approaches: the standard transformation theorem; conditioning on X; Laplace transformation, etc. They don't seem to work. Any hints?