Modified Ratio Estimator in Simple Random Sampling using Auxiliary Information

In this study, we offer a new estimator for population variance in simple random sampling based on auxiliary information. We calculated the proposed estimator's bias and MSE equations and compared them to the bias and MSE of existing estimators, demonstrating that the new estimator is more efficient than the existing estimators proposed by different authors. With the aid of numerical example, we can support this theoretical result.