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\section{Statistical Analysis}\label{discuss} Analysis}\label{distance}  RB \& SO (e.g. implications for observations)  We use pseudo-distance metrics to effectively analyze differences between all synthetic observations. For each statistic, we produce a color-plot table denoting distance metric values for all simulation pairs. Section 3 identifies qualitative differences corresponding to stellar feedback; expanding upon this, we now quantify all simulation differences, and determine the sensitivities of the previously mentioned statistics (reword--Cramer wasn't mentioned, as it has no graphical output). Unlike the study carried out in Koch et al.~(2015), our simulation suite does not utilize experimental design to set the simulation parameter values. As discussed in \citet{Yeremi_2014}, comparisons between outputs in one-factor-at-a-time approaches may give a misleading signal since the statistical effects are not fully calibrated.