We consider the empirical distribution of a trajectory generic with respect to the absolutely continuous invariant measure of an expanding map of the interval. We prove the convergence of the suitably normalized fluctuations to a Gaussian bridge. One can then apply Dudley's theorem to build a Kolmogorov–Smirnov test. We also prove an upper and a lower bound on the tail fluctuation using a variant of Slepian's inequality.