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This article addresses the problem of estimating the population mean in thepresence of auxiliary information when study variable itself is qualitative innature. Bias and mean squared error (MSE) expressions of the class ofestimators are derived up to the first order of approximation. The suggestedestimators have been compared with the traditional estimator and several otherestimators considered by Singh (2010). In addition, we support this theoreticalresult by an empirical study to show the superiority of the constructedestimator over others.

Improved estimators in simple random sampling when study variable is an attribute