This talk attempts to address the difficulty of the statistical inference using the ranked set sampling (RSS) data. The existing estimation approaches are discussed and the attempts made for valid test of hypothesis is also considered. A proposal for an unified approach for estimation and test with the assumption that the population follows the g and k quantile function distribution is made. The effect of the shape parameters on the simple RSS estimator of the population mean is also studied using the same assumption.