selecting-statistical-test

What problem does it solve?

This Skill helps users choose the correct statistical test before analysis, preventing invalid conclusions from mismatched designs, scales, or assumption checks.

Core Features & Use Cases

• Guides the decision tree from study design, measurement scale, sample size, and assumption checks to the correct parametric or nonparametric test.
• Handles common scenarios such as paired before-after data, independent group comparisons, sparse 2x2 contingency tables, one-sample tests, and repeated-measures designs.
• Explains why a test is recommended by naming the gating check that determined the choice, making the result defensible and easy to audit.
• Useful for data scientists, statistics students, instructors, and ML engineers who need to pick a valid test quickly and correctly.

Quick Start

Ask which statistical test fits your design, scale, sample size, and assumption-check results, and it will return the recommended test with the reason it was chosen.