Bonferroni Correction: A statistical adjustment made to P-values when several dependent or independent statistical tests are being performed simultaneously
When you run a single statistical test at a 5% significance level, you accept a 5% risk of a false positive (rejecting a true null hypothesis). But modern analytics rarely involves only one test. A product team may compare multiple variants, a marketing analyst may test many audience segments, and a data scientist may screen […]
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