sampling inference
[ˈsæmplɪŋ ɪnˈfɛrəns]
nounpl: sampling inferences
inferência amostral
1. A statistical method of drawing conclusions about a population based on data collected from a sample rather than the entire population
The researchers used sampling inference to estimate the average income of all households in the city based on data from 500 randomly selected families.
Os pesquisadores usaram inferência amostral para estimar a renda média de todos os domicílios da cidade com base em dados de 500 famílias selecionadas aleatoriamente.
2. The process of making generalizations or predictions about population parameters from sample statistics
Sampling inference allows us to make reliable predictions about market trends without surveying every single consumer.
A inferência amostral nos permite fazer previsões confiáveis sobre tendências de mercado sem pesquisar cada consumidor individualmente.
This is a technical term from statistics and research methodology widely used in both American and Brazilian academic institutions, market research, and quality control industries. In Brazil, it is commonly employed in universities, government statistical agencies (IBGE), and private sector analytics. The term reflects the importance of sampling methods in modern data science and business intelligence.
Related Idioms & Phrases
drawing conclusions from a sample
making inferences from sample data
generalizing from sample to population
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