In what way can one do a goodness of fit test on a set of data that contains no uncertainties? I am doing a simulated data analysis assignment for a physics lab course and they provided me with data for a supposed xray spectrum for some material. The data consists of energy bins with a count of photon detections for each bin (or something like that). There is no uncertainty on these values. I can fit a couple gaussian distributions to it, but without uncertainties I am confused as to how to approach a goodness of fit test. I do not have much statistics knowledge so any help would be great!