The article introduces new ways to estimate the average of a population in stratified random sampling. One method is based on Searls' approach, while the other is a ratio estimator. These new estimators are shown to be more efficient than traditional methods, with the second one being the most effective. The study confirms these findings through simulations. Overall, the second estimator outperforms other ratio estimators with lower biases.