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... > contexts > population characteristics > health > public health > epidemiology > statistics and research methods > hypothesis testing > type I errors
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... > social science subjects > social research > research methods and evaluation > research design > hypothesis (research) > type I errors
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... > social science subjects > education > educational systems > curriculum > curriculum studies > inquiry and research > quantitative research > quantitative data analysis > hypothesis testing > hypothesis (research) > type I errors
... > social science subjects > social research > research methods and evaluation > quantitative research > quantitative data analysis > hypothesis testing > hypothesis (research) > type I errors
... > social science subjects > social research > research methods and evaluation > concepts & philosophies > theory (research methods) > hypothesis (research) > type I errors

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type I errors  

Definición

  • In inferential statistics, we state a null and alternative hypothesis, gather data, and compute statistics to decide whether to accept or reject the null hypothesis. Because we compute statistics on a sample in order to make decisions about a population whose parameters are unknown, there is always some probability that our decision will be incorrect. [Source: Encyclopedia of Global Health; Alpha Error]

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http://data.loterre.fr/ark:/67375/N9J-PR4QXR7R-L

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Conceptos equivalentes

https://concepts.sagepub.com/social-science/concept/type_I_errors
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