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One-Way ANOVA Statistical Test
x402
One-Way ANOVA Statistical Test is a paid API for AI agents from stats-tests.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-21).
Performs one-way ANOVA across 2–12 groups, returning F statistic, degrees of freedom, p-value, eta squared, omega squared, and group means.
Price / call$0.02
Success—
StatusUnknown
How this service works
One-way ANOVA across 2 to 12 groups: F statistic, degrees of freedom, p-value, eta squared and omega squared, with group means.
Output
Returns a JSON object containing the F statistic, between-group and within-group degrees of freedom, p-value, eta squared, omega squared, group means array, group sizes, grand mean, sum of squares and mean squares for both between and within groups, max variance ratio, total observations, a boolean significance flag at 5%, a verdict string, a summary, and optional diagnostic reasons or warnings.
Example use cases
Comparing crop yield across fertilizer treatments
“I have yield measurements from three fertilizer conditions — control: 4,5,6,4,5; low-dose: 7,8,9,7,8; high-dose: 11,12,10,13,11 — run a one-way ANOVA and tell me if the differences are statistically significant and what the effect size is.”
Testing student performance across teaching methods
“Can you run an ANOVA to compare test scores across four teaching methods? Group 1: 72,68,75,70; Group 2: 85,88,82,90; Group 3: 60,65,63,61; Group 4: 78,80,76,79. I need the F statistic, p-value, and eta squared.”
Evaluating drug dosage effect on blood pressure reduction
“I've got blood pressure reduction values for patients on three drug doses — 5mg: 3,5,4,6,4; 10mg: 8,7,9,8,10; 20mg: 14,12,15,13,14 — please do a one-way ANOVA and let me know if dose level has a statistically significant effect and how large the effect is.”
Technical details
Endpoint
GEThttps://stats-tests.x402tookit.com/anova-oneway?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compare means across 2–12 independent groups and want a full one-way ANOVA output including effect size measures (eta squared and omega squared). Prefer this over a t-test when you have more than two groups. Use this instead of the Mann-Whitney U endpoint when your data is approximately continuous and you need parametric effect sizes. Ideal for experimental designs with multiple treatment levels.
Side effects
- Fewer than 2 groups provided — requires at least 2 groups
- More than 12 groups provided — maximum is 12
- Non-numeric values in group data cause parse failure
- Groups with fewer than 2 observations may produce unreliable results
- Malformed semicolon/comma-separated format returns an error
- All group means identical yields F=0 and non-significant result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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