I am performing a Monte Carlo simulation of a weapon system to determine the effect of variations in weapon characterisitics on the accuracy of the weapon. For example, I might vary the muzzle velocity of the weapon and measure the angles between the aim point and the impact point (i.e. miss angles). I need to report the standard deviation of the miss angles in milli radians to two decimal places, so I would like to determine the minimum number of Monte Carlo iterations required to obtain a 95% confidence level that the standard deviation of the miss angles are accurate to 0.01 mili radians. My statistics are a bit rusty, so does anyone know of the best way to go about this?