One-way ANOVA Decomposition
Compare independent group means while retaining exact within/between sums of squares and an explicit F model.
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How to use One-way ANOVA Decomposition
Center each group and the pooled sample exactly. Partition total variation into between-group and within-group sums, divide by their degrees of freedom, and obtain an approximate upper F tail alongside eta squared.
- 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. 2–12 groups, 2–200 values each and at most 1,000 total. Positive within-group variation is required. This classical model assumes independent normal errors and a common variance; no Welch ANOVA, repeated-measures design, post-hoc tests or automatic conclusion.
- 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
Does an ANOVA p-value identify which groups differ?
No. It addresses the joint equal-mean model. Individual contrasts require a separately justified comparison plan.
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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