statistical-power
Calculates sample sizes and statistical power for study planning: a priori power analysis, minimum detectable effect and power curves.
- Kind
- Skill
- Works with
- Claude Code, Codex, Cursor, Gemini / Antigravity
- Source
- Scientific Agent Skills (K-Dense) @ 5f2bc0341354
- Path
- skills/statistical-power/SKILL.md
- Jobs
- Planning
- Topics
- Data analysis & BI
Credit
- Made by
- K-Dense-AI
- Original
- github.com/K-Dense-AI/scientific-agent-skills/blob/5f2bc03413…
- License
- MIT
Listed by Skill Manifest; not made by us.
InstallInstall it by hand, following the source.
gh skill install K-Dense-AI/scientific-agent-skills statistical-power
Install factsScanned 2 Nov 2026
- Adds
- .claude/skills/statistical-power/ (the skill folder)
- 5 file(s) the skill refers to
- Runs scripts
- Yes
- allowed-tools includes Bash
- shell block in the text
- Uses the network
- Yes
- downloads Python packages
- Needs secrets
- None found
- Source revision
- 5f2bc0341354
- Licence
- MIT
- Last activity
- 26 Oct 2026
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- Only the main file is read; other files in the folder are not scanned
# Statistical Power & Sample Size ## Overview Power analysis plans the probability of rejecting a specified null under an assumed alternative. It answers **how many independent experimental units are needed to detect a scientifically important effect**, or what effects a feasible sample could detect. Choose the inferential goal first: precision, equivalence, noninferiority, or sequential monitoring need their own calculations; the bundled superiority-test helpers do not cover them. Four quantities are locked together for any given test: **sample size (n)**, **effect size**, **significance level (α)**, and **power (1 − β)**. For a fixed design, analysis, and nuisance parameters, fixing three permits solving for the fourth when a solution exists. Every calculation in this skill is some rearrangement of that relationship. This skill covers the two ways to do power analysis: - **Analytical** power calculations (exact under some standard-test assumptions; asymptotic approximations for others) — see `references/closed_form_recipes.md`. …