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statistical-analysis

Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.

1estrelas
Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

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Statistical Analysis

Overview

Statistical analysis is a systematic process for testing hypotheses and quantifying relationships. Conduct hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, and Bayesian analyses with assumption checks and APA reporting. Apply this skill for academic research.

When to Use This Skill

This skill should be used when:

  • Conducting statistical hypothesis tests (t-tests, ANOVA, chi-square)
  • Performing regression or correlation analyses

[Description truncada. Veja o README completo no GitHub.]

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