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In this paper, we aim to extend the study by Koch et al. (2015) by applying a suite of turbulent statistics to simulations with feedback from stellar winds. The simulated stellar winds produce parsec scale features and excite motions of several $\kms$ as a result of their expansion \citep{Offner_2015}. While protostellar outflows may also leave imprints in the turbulent distribution, winds appear to inject more energy on larger scales which leaves a more distinct imprint on the gas velocity distribution \citep{arce11}. By performing synthetic observations, we aim to identify discriminating statistical diagnostics to apply to observed clouds that can identify and constrain feedback: the ``smoking gun".   In, \S\ref{methods} we describe the numerical simulations, production of synthetic CO data cubes, and astrostatistical toolkit. We examine the response of each statistic to the presence of stellar winds in \S\ref{results}. \S\ref{comparisons}.  In \S\ref{distance}, we compare changes in the statistics between all pairs of outputs and assess the statistic sensitivity to mass-loss rate, evolutionary time, and magnetic field strength. %discuss the implications of these results in \S\ref{discuss}. Finally, we summarize our conclusions in \S\ref{conclude}.