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Alternative ratio estimators are proposed for a finite population mean of a study variable in simple random sampling using the information on the mean of the auxiliary variable, which is positively correlated with the study variable. The properties associated with the proposed estimators are assessed by mean square error and bias and the expressions for bias and mean square for proposed estimators are also obtained. Both analytical and numerical comparisons have shown the proposed alternative estimators are more efficient than the classical ratio and the existing estimators under consideration.

Alternative Ratio Estimators for Estimating Population Mean in Simple Random Sampling Using Auxiliary Information