Exhaustive Mean Permutation Comparison
Enumerate every small fixed-group label assignment and count exact inclusive mean-difference tails.
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How to use Exhaustive Mean Permutation Comparison
Treat observations as distinct indexed records, pool their exact-grid values and enumerate every subset with the original first-group size. Integer-scaled mean differences preserve equality and all selected one-sided or absolute two-sided boundaries.
- Enter model json (schema and units below).
- Choose the stated convention and check the units and supported model.
- Calculate, inspect the result, then copy or download it.
Good to know
- Plain decimal JSON numbers or strings, at most six fractional places, magnitude at most 1,000,000,000; raw numeric spellings and duplicate object members are checked. Exact rational arithmetic is capped at 8,192 bits. Text is at most 30,000 characters; a local JSON download preserves exact fractions or full stored approximate numbers. Positive sample sizes, at most 20 pooled values and at most 184,756 assignments. Exchangeable labels under the null are assumed; pairing, clustering, stratification, random subsampling and automatic significance decisions are outside scope.
- Local calculation only; no input persistence or external lookup. Text/JSON is limited to 30000 characters and output to 1000000 characters. Numeric model inputs and precision/work limits are stated on this page. Approximate JSON numbers retain full stored values; exact arithmetic outputs retain decimal or fraction strings. Unsupported states fail explicitly.
Common questions
Are repeated numerical values counted as separate observations?
Yes. Assignments act on the supplied observation indices. Equal values can therefore produce the same statistic through different valid assignments.
Is the input uploaded or saved?
No. The tool calculates inside this browser tab and provides a local download; it does not persist your input.
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