 Basic bootstrap confidence interval

A basic bootstrap interval reflects quantiles of the bootstrap estimation error about the observed estimate. For the sample mean it uses $[\bar{X}-q_{1-\alpha /2}/\sqrt{n},\bar{X}-q_{\alpha /2}/\sqrt{n}]$, where $q$ is a conditional quantile of $\sqrt{n}({\bar{X}}^b-\bar{X})$.