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docs: finalized wiki integrity maintenance (v3.0 standard) - pruned 1400+ stubs and fixed 11k+ ghost links

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Antigravity Agent
2026-05-02 09:18:34 +09:00
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10_Wiki/Topics_GD/Statistical-Hypothesis-Testing.md
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id: MATH-STAT-TEST-001
category: "10_Wiki/💡 Topics/AI"
confidence_score: 1.0
tags: [math, [[Statistics]], [[Hypothesis-Testing]], p-value, null-hypothesis, alternative-hypothesis, significance-level]
tags: [math, [[Statistics|Statistics]], [[Hypothesis-Testing|Hypothesis-Testing]], p-value, null-hypothesis, alternative-hypothesis, significance-level]
last_reinforced: 2026-04-26
---
# Statistical Hypothesis [[Testing]] (통계적 가설 검정)
# Statistical Hypothesis [[Testing|Testing]] (통계적 가설 검정)
## 📌 한 줄 통찰 (The Karpathy Summary)
> "데이터라는 증거를 토대로 '우연한 일치'인지 '필연적 사실'인지 판결을 내리고, 엄격한 확률적 잣대(P-value)를 통해 지식의 타당성을 입증하라" — 표본 데이터를 통해 모집단에 대한 가설이 통계적으로 유의미한지 판단하는 체계적인 의사결정 프로세스.
@@ -25,5 +25,5 @@ last_reinforced: 2026-04-26
- **정책 변화:** Antigravity 프로젝트는 에이전트의 새로운 추론 알고리즘 도입 시, 기존 알고리즘과의 품질 차이가 통계적으로 유의미한지 엄격한 가설 검정(A/B Test) 과정을 거쳐 검증함.
## 🔗 지식 연결 (Graph)
- [[Statistical-Power]], [[Standard-Deviation-and-Variance]], [[Performance-Metrics-in-AI]], A-B-Testing-Foundations
- [[Statistical-Power|Statistical-Power]], [[Standard-Deviation-and-Variance|Standard-Deviation-and-Variance]], [[Performance-Metrics-in-AI|Performance-Metrics-in-AI]], A-B-Testing-Foundations
- **Raw Source:** 10_Wiki/Topics/AI/Statistical-Hypothesis-Testing.md