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This paper addresses the problem of estimating the population variance $S_y^2$ of the study variate $Y$ when information on an auxiliary attribute is available. We have suggested a new class of estimators for the population variance  $S_y^2$ using information on an auxiliary attribute. It has been shown that the proposed class of estimators is more efficient than those estimators considered by [16], [19] and [23]. The theoretical findings are well supported through an empirical study.

AN EFFICIENT NEW CLASS OF ESTIMATORS OF POPULATION VARIANCE USING INFORMATION ON AUXILIARY ATTRIBUTE IN SAMPLE SURVEYS