I have a question regarding Monte Carlo simulation (direct simulation), applied to propagation of uncertainties.
From what I understand Monte Carlo accepts random numbers of each input variable of the model.
These random numbers are generated with the mean, standard deviation and type of PDF (normal, triangular, uniform, etc.)
But the question is: I have 2 input variables in my model:
x: mean=30.5 std=0.001 <- calculated with 95% confidence. y: mean=2 std=0.1 <- calculated with 99% confidence with z = x*y
What confidence interval will
z be generated? How do I know which uncertainty (standard deviation) of
z is correspondent to a 95% confidence level?