★ 0 · Updated 2026-10-06
Analyzes experimental or observational data with hypothesis tests, regression, correlation, Bayesian methods, diagnostics, and effect estimation.
Browse skills that use this input.
★ 0 · Updated 2026-10-06
Analyzes experimental or observational data with hypothesis tests, regression, correlation, Bayesian methods, diagnostics, and effect estimation.
★ 9 · Updated 2026-10-06
Guides test selection, assumption checks, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting for research data.
★ 288 · Updated 2026-10-06
Selects and runs statistical tests, checks assumptions, calculates effect sizes and power, evaluates Bayesian alternatives, and formats APA-style results.
★ 80 · Updated 2026-10-05
Conducts a structured interview to identify a causal problem, recommend an inference method, and produce a step-by-step saved analysis plan.
★ 80 · Updated 2026-10-05
Guides instrumental variables analysis in R or Python with assumption checks, first-stage diagnostics, 2SLS estimation, weak-instrument detection, and robustness tests.