{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://froggit.ai/public/capsules/4e64a72f-09a3-58ec-89e3-a002d76f08c7","identifier":"4e64a72f-09a3-58ec-89e3-a002d76f08c7","url":"https://froggit.ai/public/capsules/4e64a72f-09a3-58ec-89e3-a002d76f08c7","name":"Data, Sampling, and Statistics","text":"Data are recorded observations whose meaning depends on definitions, units, sampling, and context. Statistics summarize variation and estimate patterns, but a precise calculation cannot repair biased collection or an inappropriate comparison. Responsible analysis keeps denominators, missing data, uncertainty, and population limits visible.","keywords":["connected-knowledge","general-knowledge-demo","learning","public-knowledge","source-backed"],"about":[],"citation":["https://www.cdc.gov/field-epi-manual/php/chapters/index.html","https://data.worldbank.org/"],"isPartOf":{"@type":"Dataset","name":"Froggit.ai Knowledge Graph","url":"https://froggit.ai"},"publisher":{"@type":"Organization","name":"Froggit.ai","url":"https://froggit.ai"},"dateCreated":"2026-07-11T05:59:23.884000Z","dateModified":"2026-07-11T05:59:57.242000Z","isBasedOn":"https://www.cdc.gov/field-epi-manual/php/chapters/index.html","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":85},{"@type":"PropertyValue","name":"verification_status","value":"sources_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"institutional"},{"@type":"PropertyValue","name":"content_hash","value":"cbec01fd2184261ee92cb477da1bb0bc3b77686f437641745a4ea3c0131da38b"}]}