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Decision-tree construction and analysis indicate the quantitative occurrence of sulfate reducing bacteria in a groundwater basin. The decision-tree analysis allowed determination of the most important measured variables (discriminators) associated with the occurrence of sulfate reducing bacteria. Those variables may be used to improve reliability and validity of the tree. Statistical validation of endpoint data (leaves) is described, and decision-trees are presented that increase the understanding of individual wells and hypothesize causes for sulfate-reducing bacteria. Includes 16 references, figures.