sampling error
[/ˈsæmplɪŋ ˈɛrər/]
nounpl: sampling errors
erro de amostragem
1. The difference between a statistic calculated from a sample and the corresponding parameter of the entire population, arising from the random variation inherent in selecting a subset rather than surveying the whole population
The survey had a sampling error of plus or minus 3%, meaning the true population value could differ from the reported result by that margin.
A pesquisa teve um erro de amostragem de mais ou menos 3%, significando que o valor real da população poderia diferir do resultado relatado por essa margem.
2. Statistical inaccuracy caused by examining only a portion of a population instead of the entire population
Researchers must account for sampling error when making generalizations from their data.
Os pesquisadores devem levar em conta o erro de amostragem ao fazer generalizações a partir de seus dados.
This is a technical statistical term widely used in both American and Brazilian academic, market research, and polling contexts. In Brazil, understanding sampling error has become increasingly important with the growth of market research and opinion polling industries. Both cultures recognize the importance of this concept when interpreting survey results and statistical findings.
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