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In the present paper, we propose an improved estimator of population variance for the main variable under study under simple random sampling without replacement (SRSWOR) scheme utilizing the correlation coefficient between the study variable and an auxiliary variable along with the inter-quartile range of the auxiliary variable. The expressions for the bias and Mean Square Error (MSE) of proposed estimator have been corrected up to first order of approximation. A comparison has been made with many of the existing estimators of population variance both theoretically and through numerical examples using real secondary data. An improvement of the proposed estimator has been shown over all of the estimators considered in the paper.

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