It could help to think that these n jackknife replicates \bar{x}_{(1)},\ldots,\bar{x}_{(n)} give us an approximation of the distribution of the sample mean \bar{x} and the larger the n the better this approximation will be. Then finally to get the jackknife estimator we take the average of these n jackknife replicates:
