{ "schema_version": "core-reviewed-term-ai-handoff-v1", "version": "core-reviewed-term-ai-handoff-v1", "contract_status": "preview", "distribution": "per_term_read_only_ai_handoff", "no_write_operations": true, "canonical": { "url": "https://core.yogoq.com/en-US/core/hypothesis", "slug": "hypothesis", "locale": "en-US" }, "summary": { "schema_version": "core-reviewed-term-summary-v1", "term_id": "32e29ee8-fb3c-5115-9f6e-37ad0c47f059", "canonical_slug": "hypothesis", "canonical_url": "https://core.yogoq.com/en-US/core/hypothesis", "locale": "en-US", "display_name": "Hypothesis", "english_name": null, "abbreviation": null, "short_definition": "A hypothesis is a testable statement that can be evaluated with data, often framed as null and alternative hypotheses.", "quality": "reviewed", "publication_status": "published_reviewed", "version": "core-reviewed-term-summary-v1", "last_reviewed_at": "2026-05-14T00:00:00.000Z", "sources_count": 3, "limitations_key": "core-trust-policy-v1-2026-06-22" }, "content": { "definition": { "key": "definition", "title": "一言でいうと", "text": "A hypothesis is a testable statement that can be evaluated with data, often framed as null and alternative hypotheses.", "items": [] }, "formula": null, "boundary": null, "usage": [ { "key": "meaning", "title": "意味", "text": "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.", "items": [] }, { "key": "usage", "title": "役立つ場面", "text": "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.", "items": [ "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." ] }, { "key": "usage", "title": "使い方のポイント", "text": null, "items": [ "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." ] } ], "misunderstandings": [ { "key": "misunderstandings", "title": "よくある誤解 / 落とし穴", "text": null, "items": [ "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." ] } ], "examples": [ { "key": "examples", "title": "最小例", "text": "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.", "items": [] } ], "comparisons": [ { "key": "comparisons", "title": "似ている言葉との違い", "text": "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", "items": [ "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" ] } ], "faq": [ { "question": "When should I use Hypothesis?", "answer": "Use it when the team needs to decide scope, priority, owner, or trade-off, not when it only needs a short definition." }, { "question": "What makes Hypothesis useful in practice?", "answer": "It becomes useful when it is tied to evidence, a decision owner, and a concrete next operating choice." }, { "question": "What should I avoid?", "answer": "Avoid using the term as a label without clarifying assumptions, boundaries, and how success will be judged." } ] }, "sources": { "source_refs": [ "concept:hypothesis:en-US", "concept:hypothesis:ja-JP", "core-term-page-500:concept:hypothesis" ], "visible_sources": [ { "label": "Introductory Statistics 2e 9.1 Null and Alternative Hypotheses (OpenStax)", "url": "https://openstax.org/books/introductory-statistics-2e/pages/9-1-null-and-alternative-hypotheses", "kind": null }, { "label": "Principles of Marketing (Open Textbook Library)", "url": "https://open.umn.edu/opentextbooks/textbooks/principles-of-marketing", "kind": "tier_s" }, { "label": "Principles of Management (OpenStax)", "url": "https://openstax.org/details/books/principles-management", "kind": "tier_s" } ] }, "related_terms": [ { "topic_id": "d2dd0407-3546-5223-8dea-7e4da635fd39", "canonical_slug": "information-technology", "canonical_url": "https://core.yogoq.com/en-US/core/information-technology", "title": "Information Technology", "relation_type": "next" }, { "topic_id": "4505f577-d7f6-5036-8a4a-f358d0f1d377", "canonical_slug": "human-resources", "canonical_url": "https://core.yogoq.com/en-US/core/human-resources", "title": "Human Resources", "relation_type": "used_together" }, { "topic_id": "bf1c072f-38a8-5b40-8194-ee8f53ce67a7", "canonical_slug": "3c-analysis", "canonical_url": "https://core.yogoq.com/en-US/core/3c-analysis", "title": "3C Analysis", "relation_type": "used_together" }, { "topic_id": "c2814f26-6ed6-50c2-bc84-a5e47d2c229a", "canonical_slug": "a-b-testing", "canonical_url": "https://core.yogoq.com/en-US/core/a-b-testing", "title": "A/B Testing", "relation_type": "used_together" } ], "quality": { "quality": "reviewed", "publication_status": "published_reviewed", "source_count": 3, "last_reviewed_at": "2026-05-14T00:00:00.000Z", "trust_policy_version": "core-trust-policy-v1-2026-06-22" }, "limitations": { "policy_version": "core-trust-policy-v1-2026-06-22", "professional_advice_boundary": "reference_only_not_professional_advice", "text": "This page is reference information for research and learning. For accounting, legal, finance, health, security, or other individual decisions, confirm against primary sources or qualified professionals.", "items": [ "Public pages support general understanding and practical context; they are not professional advice for individual cases.", "Fast-changing information such as regulations, accounting standards, prices, product specs, and legal requirements should be checked against primary sources before final decisions.", "Even when AI-assisted drafting or audit is used, publication relies on quality gates and human-readable evidence." ] } }