1️⃣ Type 1 error
= false negative (rejecting a true H0)
Significance
type 1 error likelihood = 𝜶 Significance level
Causes
- Familywise Error Rate
- too many conditions increase the likelihood of a type 1 error
- F ≤ 1 - (1 - 𝜶)
- P-value adjustment
- too many tests increase the probability of an inflation of type 1 errors
- → ✍️ Bonferroni-correction
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