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Overdispersion is a widely discussed phenomenon in case of binomial and Poisson distributed data. We analysed multinomial data with varying multinomial parameters as a part of attribute gauge study. In this situation overdispersion is expected to occur. However in case of nonrepeated observations it is not present. We investigated and proved the "lack" of overdispersion in case of binomial and multinomial variables if there are no repeated observations. The explanation is a "compensationdoi:10.3311/pp.ch.2011-1.03 fatcat:feh3awuvfjcd3cfxcklghhfexy