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Figure \ref{fig:mass_pdfs} shows the superimposed, one-dimensional marginal posterior PDFs and cumulative density functions (CDFs) for the chirp mass (centered on each mean) and mass ratio for all $250$ events. Also shown are the PDFs and CDFs averaged over all $250$ posteriors, representing a typical event's posterior distributions. Chirp-mass distributions are usually well approximated by normal distributions about the mean, while mass ratio estimates have broad support across most of the prior range.  To trace individual parameter uncertainties across the population we use the fractional uncertainties $\sigma_{\{\mathcal{M}_\mathrm{c},~q}\}/\{\overline{\mathcal{M}_\mathrm{c}},~\overline{q}\}$, where $\sigma_x$ and $\overline{x}$ are the standard deviation and mean of the distributions, respectively. Figure \ref{fig:mass_std_snr} shows the distribution of chirp-mass and mass-ratio fractional uncertainties, with colors corresponding to the S/N recovered by the detection pipeline. The average fractional uncertainties in chirp mass and mass ratio for the simulated population are $0.0675\%$ and $28.7\%$, respectively, with both generally increasing as S/N decreases.  Projecting the very tightly constrained chirp mass and poorly constrained mass ratio $90\%$ credible region from $\mathcal{M}_\mathrm{c}$--$q$ space into component-mass space makes it obvious how important mass ratio uncertainties are for extracting astrophyical information. The credible regions in component-mass space are very narrow bananas that lie along lines of constant chirp mass, bounded by the constraints on mass ratio (see Figure \ref{fig:component_mass} for some examples posteriors}).