  We currently have two different hypotheses to solve the missing mass problem:
dark matter (DM) and modified Newtonian dynamics (MOND). In this work, we use
Bayesian inference applied to the Spitzer Photometry and Accurate Rotation
Curves (SPARC) galaxies' rotation curves to see which hypothesis fares better.
For this, we represent DM by two widely used cusped and cored profiles,
Navarro-Frenk-White (NFW) and Burkert. We parameterize MOND by a widely used
radial-acceleration relation (RAR). Our results show a preference for the cored
DM profile with high Bayes factors in a substantial fraction of galaxies.
Interestingly enough, MOND is typically preferred by those galaxies which lack
precise rotation curve data. Our study also confirms that the choice of prior
has a significant impact on the credible interval of the characteristic MOND
acceleration. Overall, our analysis comes out in favor of dark matter.
