The article introduces new estimators for calculating population means in random sampling, using additional information like sample mean and auxiliary variable rank. The proposed estimators outperform existing ones in terms of accuracy, as shown in simulations and real data analysis. The results indicate that the new estimators consistently provide better estimates in various scenarios.