Data Science
02 Sep 2026
5 min read
Bootstrap Confidence Intervals with Resampling
A point estimate hides uncertainty. Reporting that median latency is 180 ms or a conversion-rate difference is 1.4 percentage points does not show how much that estimate might move if another sample were collected. Bootstrap resampling is a practical way to estimate sampling uncertainty when deriving an analytic formula is difficult or when the statistic is not a simple mean. The bootstrap idea Given an observed sample of size n: