Work out bonferroni correction instantly with clear inputs, formula shown and shareable results.
Running m tests at level α inflates the chance of at least one false positive to roughly 1 − (1 − α)^m. The Bonferroni correction divides α by m, which controls the family-wise error rate at the cost of power.
Bonferroni correction
α_adjusted = α / m, or equivalently compare m·p against α
The adjusted threshold is 0.005, so a p of 0.008 no longer counts as significant — and without correction the family-wise error rate would be about 40%.
Often, yes. The Holm-Bonferroni or Benjamini-Hochberg procedures control error while retaining more power.