Hypothesis Testing

This skill guides users through statistical hypothesis testing (t-tests, ANOVA, chi-square, regression) with proper assumption checking, effect size calculation, and APA-formatted reporting. It includes Python utilities for diagnostic visualizations and comprehensive reference documentation covering Bayesian methods, power analysis, and test selection.

A scientific methodology skill that helps formulate testable hypotheses from observations. It conducts literature searches via PubMed and web sources, generates competing hypotheses with evidence, designs experimental tests, and produces professional LaTeX reports with colored boxes and comprehensive appendices.

Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.