Statistics Test
Perform basic statistical tests using pure Python (no scipy/numpy required). Supports: (1) Chi-square goodness-of-fit test with p-value via gamma function, (2) Fisher's exact test for 2x2 contingency tables via hypergeometric distribution, (3) Simple linear regression (OLS) with R-squared, t-statistics, and p-values via incomplete beta function, (4) Two-sample t-test (Welch's) for comparing group means. Use for: hypothesis testing, contingency table analysis, regression analysis, group comparis…
Overview
Perform basic statistical tests using pure Python (no scipy/numpy required). Supports: (1) Chi-square goodness-of-fit test with p-value via gamma function, (2) Fisher's exact test for 2x2 contingency tables via hypergeometric distribution, (3) Simple linear regression (OLS) with R-squared, t-statistics, and p-values via incomplete beta function, (4) Two-sample t-test (Welch's) for comparing group means. Use for: hypothesis testing, contingency table analysis, regression analysis, group comparison.
Schema
JSON Schema the agent (or your API call) must match.
Examples (1)
Default Statistics Test call
Anonymous-safe example. Rate-limited; no sign-in required.
Identifiers
- Catalog ID
- tu_Statistics_test
- Tool name
- Statistics_test
- Added
- 2026-04-30 22:47Z
- Tags
- tooluniverse