# Scientific Hypothesis

> Formulate testable scientific hypotheses — null/alternative, variables, controls, falsifiability — with explicit variables and statistical plan.

- Skill: `quantumquirkxyz/scientific-hypothesis` (Agent Skill)
- Install (CLI): `npx skillmds@latest add quantumquirkxyz/scientific-hypothesis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/quantumquirkxyz/scientific-hypothesis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: quantumquirkxyz (https://skillmd.com/u/quantumquirkxyz)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/quantumquirkxyz/scientific-hypothesis

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## Contract

- **Input:** problem description and inputs defined by the skill body.
- **Output:** Markdown artifact with completed process steps.
- **Side effects:** none.
- **Dependencies:** none.
- **Stop condition:** all process steps executed; artifact saved with required sections.
- **Risk:** low.
- **Boundary:** produces reasoning artifact only; no system changes.


# Scientific Hypothesis Design

Formulate a **scientific hypothesis** that is testable, falsifiable, and tied to measurable variables with controls.

## When to use
- The user wants to design a study, experiment, or observation.
- A claim needs to become a testable prediction.
- A research proposal needs hypothesis formulation.

## Process
1. Problem — the phenomenon to explain.
2. Hypothesis — null (H₀) and alternative (H₁); clearly stated predictions.
3. Variables — independent, dependent, control, confounding; define each with measurement method.
4. Design — experiment vs observation; randomisation; controls; blinding; sample size (power analysis).
5. Statistics — test selection (t-test, ANOVA, chi-square, regression), significance level (α), effect size, confidence intervals.
6. Deliver — artifact with H₀/H₁, variables, design, statistical plan, and limitations.