Work out monte carlo simulation instantly with clear inputs, formula shown and shareable results.
Monte Carlo estimates a probability by the fraction of simulated successes. Its error shrinks as 1/√n, so quadrupling the trials halves the uncertainty — the reason large simulations are needed for high precision.
Monte Carlo error
SE = √(p(1 − p)/n), so precision improves as 1/√n
The estimate is 0.253, well within the standard error of 0.00433, giving z ≈ 0.69.
You need roughly 100 times as many trials, since the error falls only as the square root of the count.