I think it is interesting that when X is a uniform distribution, the Monte Carlo Estimator equation just amounts to adding up all the random sample points and multiplying each by the width of the sample length (b-a/n). I thought that even though increasing N to infinity will make Fn converge with the integral value, when N is small, using trapezoids will work better.