Allocate a Reproducible Sample across Dataset Strata

How to Use This Tool

Compare proportional and equal allocation with integer rounding and a visible deterministic seed. Allocate a fixed sample across dataset strata, preserve exact totals through deterministic rounding, flag undersized groups, and export a sampling plan.

The work this page finishes

Teams often request a fixed stratified sample but round each group independently, causing the allocation to miss the requested total or exceed a small stratum. For Dataset Sampling Plan, a visible row-by-row result preserves provenance, making a single correction possible without rerunning unrelated records or uploading the batch.

Deterministic workflow

Compute proportional or equal raw shares, floor them, cap by stratum population and distribute remaining rows deterministically by fractional remainder and name. For Dataset Sampling Plan, input guards stop after 5,000 records or 2 MB, and the report separates fatal input problems from recoverable row warnings.

Why a dedicated interface helps

Use the plan with a documented random selection implementation seeded separately; this page allocates counts and records a seed but does not select source rows. For Dataset Sampling Plan, deterministic ordering, one-click copying and a downloadable artifact make repeated operational review easier than manually reconstructing a response from prose.

Assumptions

• Strata are mutually exclusive and exhaustive for the intended population.
• Population counts are positive integers.
• The downstream sampler uses the recorded seed consistently.

For Dataset Sampling Plan, do not discard the source after export: compare the destination result with it, and remember that local execution cannot secure the surrounding device or browser add-ons.

Limitations and review boundary

It does not calculate statistical power, correct bias, choose strata, guarantee representativeness, sample a file or substitute for a study design review. For Dataset Sampling Plan, user values are never run as script, rendered as markup or fetched as network destinations; the page writes them only into text nodes.

Verification and provenance

On 2026-08-26, the rule and examples were cross-checked with NIST/SEMATECH e-Handbook — Random Sampling, including a known result, a rejected input and a conflict or duplicate case. The 10,000-row example allocates exactly 1,000 rows across three strata while retaining the visible seed in every exported row.