Segundo a Wikipedia: “All statistical hypothesis tests have a probability of making type I and type II errors. For example, all blood tests for a disease will falsely detect the disease in some proportion of people who don’t have it, and will fail to detect the disease in some proportion of people who do have it. A test’s probability of making a type I error is denoted by α. A test’s probability of making a type II error is denoted by β.”
Vejam o vídeo, cortesia da revista The Economist sobre a importância destes erros para as conclusões que retiramos de estudos científicos.
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