statistical-analysis

name	statistical-analysis
description	Perform decision-oriented statistical analysis with explicit population, sampling, assumptions, uncertainty, effect size, and sensitivity.

Statistical Analysis

Use when this procedure is the primary professional method needed for the assignment.

Procedure

1. Confirm the decision or outcome this work must support, its scope, owner, constraints, and definition of success.
2. Establish the evidence baseline using raw/derived data, sampling process, metric definitions, missingness, confounders, and decision threshold. Do not fill material gaps with assumptions when they can change the result.
3. Define estimand and population, audit data-generating process, choose justified method, quantify uncertainty, test assumptions, and report practical significance.
4. Exercise realistic edge, failure, transition, or exception cases that could invalidate the result; record unresolved uncertainty explicitly.
5. Validate the output against the original outcome and any neighboring professional contracts so this skill does not silently absorb another specialist's authority.
6. Record the resulting artifact, measurements, decisions, provenance, and handoff information needed for another owner to reproduce or continue the work.

Quality gate

The conclusion survives reasonable assumption checks and communicates uncertainty without converting correlation into causation.