In this article we present an integrated approach for the treatment and analysis of FCC experimental data based on statistical techniques and the use of characteristic curves. The method involves a material balance reconciliation procedure that improves the reliability and precision of the experimental results. After data reconciliation, we propose the use of some characteristic curves that describe in a proper way the behavior of conversion and selectivity. The characteristic curves are used to reach three main objectives: detect suspicious points (outliers), verify the correct trend of a experimental set of results and determine the discrimination capacity of the results when comparing two sets of data. These curves are based on fundamental knowledge of the process and a five-lump kinetic scheme. The coke characteristic curve takes into account a selective deactivation scheme for this product. The curves have parameters that are estimated by fitting to the experimental data using non-Linear least-square methods. The systematic utilization of this procedure is a powerful tool for a reliable analysis of FCC evaluation results.