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New estimator reduces errors in population variance estimation, outperforming existing methods.
The article introduces a new way to estimate the population variance of a study variable by using known values of related population parameters. The proposed estimator controls bias and offers options for optimal error. Comparisons with other methods show that this new estimator outperforms existing ones.