This document validates the f^2 rule-of-thumb for determining the length of batches in a simulation. It compares the confidence intervals of load, loss, and queuing ratios for groups with different batch lengths. The results show that confidence interval sizes decrease by a factor of f^2 as batch length increases, validating the rule-of-thumb. It also finds that confidence interval sizes are nearly equal when comparing groups with the same batch length. This confirms that longer batch lengths lead to more precise estimates as predicted by the f^2 rule-of-thumb.