  This article addresses the problem of estimating the population mean in the
presence of auxiliary information when study variable itself is qualitative in
nature. Bias and mean squared error (MSE) expressions of the class of
estimators are derived up to the first order of approximation. The suggested
estimators have been compared with the traditional estimator and several other
estimators considered by Singh (2010). In addition, we support this theoretical
result by an empirical study to show the superiority of the constructed
estimator over others.
