1Greater variance in a set of observations than would be expected on the assumption of independence and homogeneity (which underlies e.g. binomial and Poisson distribution); greater unevenness in the distribution of individuals, events, etc., than would be the case if each instance were independent of the rest; clustering, aggregation.

2Greater separateness or regularity of distribution than would be predicted to arise randomly.