The results will show you that the median is 28875, with a lower 95% confidence limit of 27750 and an upper 95% confidence limit of 30000. Introduction This concept discusses how to measure the confidence interval of the median, as it was done in De Coster et al. If you have a 99% confidence level, it means that almost all the intervals have to capture the true population mean/proportion (and the critical value is 2.576). \[ \newcommand{\bm}[1]{\boldsymbol{\mathbf{#1}}} \DeclareMathOperator*{\argmin}{arg\,min} \DeclareMathOperator*{\argmax}{arg\,max} \] Abstract We discuss the computation of confidence intervals for the median or any other quantile in R. In particular we are interested in the interpolated order statistic approach suggested by Hettmansperger and Sheather (1986) and Nyblom (1992). Suppose \(Y_1.

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