Level of significance
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Type 1 Error and Type 2 ErrorStats/Inferential 2020. 1. 30. 14:22
1. Overview In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion). 2. Description 2.1 Type 1 Error $\alpha$ It is often assimilated with false positives or Level of significa..