This paper discusses a median test for two continuous populations with similar variance structure from which samples are independently drawn. Our ideas are based on the Mann-Whitney Wilcoxon test. We take the sign of the difference of two observations to multiply its ordered rank after applying the absolute value operation to the difference. Our method takes into account weighing the differences of these observations in order to make better use of the embedded information in the sample. We also perform several Monte Carlo experiments to simulate the resulting test statistics from simulated populations with different distributions. Furthermore, based on our simulation studies, we also discuss and compare the testing power of our median test with other related tests in the literature. Our test can serve as an alternative nonparametric analysis in the field of two-population median test problems.