Chi-square, ANOVA, Mann-Whitney, Fisher exact, binomial and paired t-tests, multiple-comparison corrections, effect sizes, power and normality.
payments ON MAINNET (real money) · 10 live endpoints
| Endpoint | Price | What it answers |
|---|---|---|
GET /anova-oneway | $0.02 | One-way ANOVA across 2 to 12 groups: F statistic, degrees of freedom, p-value, eta squared and omega squared, with group means. |
GET /binomial-test | $0.02 | Exact binomial test of k successes in n trials vs a hypothesised probability, with p-values and the Clopper-Pearson CI. |
GET /chi-square-test | $0.02 | Chi-square goodness of fit (observed vs expected counts) or independence test on a table, with p-value and effect size. |
GET /effect-size-2x2 | $0.02 | Odds ratio, relative risk, risk difference and number needed to treat from a 2x2 table, each with a confidence interval. |
GET /fisher-exact | $0.02 | Fisher's exact test for a 2x2 table: two-sided and one-sided p-values from the hypergeometric distribution, plus odds ratio. |
GET /mann-whitney | $0.02 | Mann-Whitney U test for two independent samples: U, exact p for small samples without ties or normal approximation, effect size. |
GET /multiple-comparisons | $0.02 | Adjust p-values for multiple testing (Bonferroni, Sidak, Holm, Benjamini-Hochberg) and see which tests survive. |
GET /normality-check | $0.02 | Normality screen for a sample: skewness, excess kurtosis, Jarque-Bera test with p-value, and the 68-95-99.7 rule check. |
GET /paired-t-test | $0.02 | Paired t-test on before and after data: mean change, t, degrees of freedom, p-value, confidence interval and Cohen dz. |
GET /power-t-test | $0.02 | Sample size for a two-sample, one-sample or paired t-test from effect size, alpha and power; or the power for a given size. |
GET /catalog returns this list as JSON. Activity hub · uptime.
All results are computed locally with standard algorithms, provided as is. Statistical tests rest on assumptions (independent observations, adequate sample size, roughly normal data for parametric tests) that this service cannot verify, and a small p-value does not show cause, size or importance of an effect. Not professional statistical, medical or financial advice. Inputs travel in the query string, so keep data lists short and never send personal data. Every paid response carries a disclaimer field.