FA-74667 / Experiment statistics / Member archive

Bootstrap difference interval: Treatment is resampled before control · case 02

Intervals are not reproducible against the reference implementation for the same seed.

Member previewVariant 2 · 3 implementations · 8 checks per implementation

Case contract

rng = random.Random(seed). Each of reps replicates resamples control then treatment with replacement (rng.choices, same sizes) and records mean(t) - mean(c). After sorting, the interval is diffs[floor((1 - level)/2 * reps)] to diffs[ceil((1 + level)/2 * reps) - 1]. Return both ends rounded to 6.

Why this case matters

Bootstrap intervals are the fallback for skewed metrics; reproducibility and indexing must be exact.

One recorded failure

Sample boundary fixture

This sample comes from the broken implementation of a controlled reproducer.

Boundary fixture	Actual	Expected	Outcome
ninety percent interval	`[0.0, 4.0]`	`[0.0, 4.5]`	Failed

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