Ecology and environmental studies could be most challenging in terms of usage and interpretation of appropriate statistical measures for analysis. Ecological research has a unique feature in that a component of ecological community might yield different results when repeating the experiment and expected not to exert the conditions of identical samples. In contrast to long run frequentist approach, Bayesian inference could provide a more pragmatic alternative to the field of ecological uncertainty. Its ability to incorporate ob jective or sub jective hypotheses or theories into prior distributions could encourage ecologists to analyse the data and interpret the results. In this study, an attempt has been made to estimate the prevalence of Meiofaunal population based on the data collected in five stations (Adyar, Marina, Napier, Pulicat and Royapuram) of Chennai coast (13º 06’ N. 80º 18’E), India and the elicited information forms the basis for constructing realistic priors. Further, data pertaining to foraminiferans, a rare group of meiofauna from the five stations of Chennai coast is subjected to Bayesian analysis and the results are discussed.