Group size tend to be highly variable even within the same species, thus we often need statistical measures to quantify group size and statistical tests to compare these measures between two or more samples.
Therefore, when we wish to characterize a typical (average) individual's social environment, we should apply non-parametric estimations of group size.
Crowding data consist of non-independent values, or ties, which show multiple and simultaneous changes due to a single biological event.
(Say, all group members' crowding values change simultaneously whenever an individual joins or leaves.)
Reiczigel et al. (2008) discuss the statistical problems associated with group size measures (calculating confidence intervals, two-sample tests, etc.)