It is well known that t-student confidence intervals are quite robust as nonparametric confidence intervals for the population mean. It is also known that taking care of the population skewness results in almost accurate and efficient confidence intervals, for small to moderate departures from normality. In this paper we propose a computer-intensive method that its accuracy and efficiency surpasses the available methods.