The positively associated sequence is a general class of random variables, and has been widely utilized in multivariate statistical analysis and system reliability. The purpose of this paper is to estimate sample quantiles based on a stationary and positively associated sequ-ence. By applying the property of a positively associated sequence, we establish a covariance inequality for the positively associated variables. And then, by using the exponential inequality of a positively associated sequence, we obtain an inequality for the empirical distribution function. Furthermore, under certain conditions, by virtue of the obtained inequality, we discuss the consistency of the sample quantile estimator for positively associated sequence, and derive the Bahadur representation together with its convergence rate.