# 仮説

> YogoQ Core AI-readable term handoff. Preview, read-only, Reviewed/Verified only.

- Canonical URL: https://core.yogoq.com/ko-KR/core/hypothesis
- Locale: ko-KR
- Content tier: db_backed
- Quality: reviewed
- Publication status: published_reviewed
- Schema version: core-reviewed-term-ai-handoff-v2
- Compatible with: core-reviewed-term-ai-handoff-v1
- Content hash: 9d301d226763b9f926303453a3ff39661f2c8baab37f176c5f428a90881db414
- Trust policy: core-trust-policy-v1-2026-06-22

## Short Definition

A hypothesis is a testable statement that can be evaluated with data, often framed as null and alternative hypotheses.

## 一言でいうと

A hypothesis is a testable statement that can be evaluated with data, often framed as null and alternative hypotheses.

## 意味

A hypothesis defines a specific claim about a population or relationship that can be tested through evidence. In statistical testing, the null hypothesis represents no effect, while the alternative represents a meaningful difference or relationship. Clear hypotheses guide experiment design, sample size decisions, and interpretation of results.

## 役立つ場面

It determines the experiment design and what data are required. It shapes which metrics and thresholds indicate success or failure. It influences how confidently results can be acted upon.

- It determines the experiment design and what data are required.
- It shapes which metrics and thresholds indicate success or failure.
- It influences how confidently results can be acted upon.

## 使い方のポイント

- State hypotheses in measurable terms with defined variables.
- Specify null and alternative hypotheses before testing.
- Choose sample sizes that can detect meaningful effects.
- Interpret results in context, not just by p-values.
- Document assumptions so others can replicate the test.

## よくある誤解 / 落とし穴

- A hypothesis is not a casual guess; it is a testable statement.
- Failing to reject the null does not prove the null is true.
- Changing hypotheses after seeing data undermines validity.

## 最小例

A product team tests whether a new onboarding flow increases activation. The null hypothesis states there is no difference, and the alternative states activation increases by at least 5%. They run an A/B test with a sample size large enough to detect the effect. Results show a statistically significant increase, and the team rolls out the change while documenting assumptions and limitations.

## 似ている言葉との違い

Compare Hypothesis with adjacent concepts before deciding. Hypothesis | Current concept | Use when the team needs the primary decision lens Adjacent metric or framework | Supporting lens | Use when the team needs evidence or process detail General vocabulary | Broad explanation | Use only for orientation, not final decision-making

- Hypothesis | Current concept | Use when the team needs the primary decision lens
- Adjacent metric or framework | Supporting lens | Use when the team needs evidence or process detail
- General vocabulary | Broad explanation | Use only for orientation, not final decision-making

## Aliases

- 仮説 (display_name, ko-KR)
- Hypothesis (english_name, en-US)
- ハイポセシス (katakana, ko-KR)
- 仮説 (localized_title, ja-JP)

## Relations

- 情報技術(IT): related (https://core.yogoq.com/ko-KR/core/information-technology)
- 人事: related (https://core.yogoq.com/ko-KR/core/human-resources)
- 3C分析: related (https://core.yogoq.com/ko-KR/core/3c-analysis)
- A/Bテスト: related (https://core.yogoq.com/ko-KR/core/a-b-testing)

## RAG Chunks

- core:chunk:hypothesis:ko-KR:definition:9594bb3ab773d9ae
- core:chunk:hypothesis:ko-KR:meaning:a1120b8eba5ff061
- core:chunk:hypothesis:ko-KR:usage:8cfe8433a2d14adf
- core:chunk:hypothesis:ko-KR:usage:5cef80c3b678c9ea
- core:chunk:hypothesis:ko-KR:misunderstandings:8b2bd1f7eafa7fb4
- core:chunk:hypothesis:ko-KR:examples:8909582b50c3d1d0
- core:chunk:hypothesis:ko-KR:comparisons:87bdf3bd3204d64e
- core:chunk:hypothesis:ko-KR:faq:7e7faefb1610951c
- core:chunk:hypothesis:ko-KR:faq:9ee187ac31335d95
- core:chunk:hypothesis:ko-KR:faq:dbce09c620521df1

## FAQ

### When should I use Hypothesis?

Use it when the team needs to decide scope, priority, owner, or trade-off, not when it only needs a short definition.

### What makes Hypothesis useful in practice?

It becomes useful when it is tied to evidence, a decision owner, and a concrete next operating choice.

### What should I avoid?

Avoid using the term as a label without clarifying assumptions, boundaries, and how success will be judged.

## Sources

- Introductory Statistics 2e 9.1 Null and Alternative Hypotheses (OpenStax) - https://openstax.org/books/introductory-statistics-2e/pages/9-1-null-and-alternative-hypotheses
- Principles of Marketing (Open Textbook Library) - https://open.umn.edu/opentextbooks/textbooks/principles-of-marketing
- Principles of Management (OpenStax) - https://openstax.org/details/books/principles-management

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