Hey Mullineux.

In terms of the technique, consider an indicator variable for Z = XY if XY >= c and then find E[Z;X>=0].

You can use the fact that the probability will correspond to a Bernoulli distribution where if I[Z] = 0 if XY < c and 1 if XY >=c then E[I[Z]] = P(XY >= c).