Few discussions in the field of immunoassay analysis have centered on the interpretation of immunoassay data. Personnel at Ciba PlantProtection have analyzed several thousand real-world samples by immunoassay and have reached some conclusions from this experience. This paper will discuss the various types of standard curves in use, the means by which the limits of quantitation are determined and the idea of analyte-equivalency to more clearly elucidate the problem of how to interpret immunochemical data. The goal of this paper is to answer the question, "What do the numbers generated by an immunoassay mean?" Of all the aspects of immunoassays, few discussions have focused on interpretation of data. This is surprising given the potential impact of immunochemical methods on pesticide residue analysis. These techniques have traveled from the laboratory bench in academic surroundings to application in industrial and regulatory settings. Several companies now manufacture immunoassay kits for a variety of agrochemicals in addition to other compounds of regulatory interest. The cost-effective aspects of immunoassays are now being realized on a daily basis in Madison, Wisconsin, for example, where analysts in the State Laboratory of Hygiene screen drinking water for triazine residues for less than twenty dollars per sample. To date, personnel at Ciba Plant Protection have run several thousand real-world soil and water samples. Based on our experience, we have concluded it has become not a trivial concern to examine the interpretation of immunoassay data. By examining the various types of standard curves in use, the means by which the limit of quantitation are determined and the concept of analyte-equivalency, some insight can be gained into this issue. The goal of this paper is to answer the question, "What do the numbers generated by an immunoassay mean?" 0097-6156/95/0586-0266$12.50/0