test_selection_guide
This guide provides a decision tree for selecting appropriate statistical tests based on research questions, data types, and study designs.
- Skills
- Scientific
- 4
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/test-selection-guide && curl -fsSL https://doutorai.pt/data/lib/skills__test-selection-guide.md -o .claude/skills/test-selection-guide/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Statistical Test Selection Guide
This guide provides a decision tree for selecting appropriate statistical tests based on research questions, data types, and study designs.
## Decision Tree for Test Selection
### 1. Comparing Groups
#### Two Independent Groups
- **Continuous outcome, normally distributed**: Independent samples t-test
- **Continuous outcome, non-normal**: Mann-Whitney U test (Wilcoxon rank-sum test)
- **Binary outcome**: Chi-square test or Fisher's exact test (if expected counts < 5)
- **Ordinal outcome**: Mann-Whitney U test
#### Two Paired/Dependent Groups
- **Continuo
- 🔒 Full content on the Pro plan (€7.99/month) -Need help with Claude Code?
Ask Dr AI - it explains things simply.
Need a tailor-made solution?
Not sure where to start with AI in your business? Get a free assessment and a tailored plan - no commitment.
Save hours every week with AI, no hassle
Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.