Given a sample from a normal distribution, whose parameters are unknown, it is possible to give prediction intervals in the frequentist sense, i.e., an interval ["a", "b"] based on statistics of the sample such that on repeated experiments, "X" falls in the interval the desired percentage of the time; one may call these "predictive confidence intervals".