1. The problem statement, all variables and given/known data D = (L + E) / S Where L, E, and S are mutually independent random variables that are each normally distributed. I need to find (symbolically), the conditional PDF f(d|s). 2. Relevant equations 3. The attempt at a solution Not sure what to do with so many variables... I'm guessing that I can treat "s" as a constant since it's "given" for the conditional PDF. I also know that adding L + E will result in a normally distributed random variable. So D is also a random variable, right? I tried to use Bayes' Rule and also the definition of conditional probability - didn't help. I would be willing to bet that I need to integrate something... THANK YOU for any guidance you can provide!