The paper presents the results of the study of impact of symptomatic information to sequential fault diagnosis. Typical test sequencing algorithms based on the concepts from information theory and heuristic AND/OR graph search methods are considered. Estimation of optimal weights of statistic data of faulty elements associated with given symptoms is discussed. Empirical results are presented for the case in which the symptomatic information is processed separately and in advance of the global failure rate data.