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Bonferroni correction – What It Is and Why It Matters

The Bonferroni correction is a statistical method used to reduce the risk of Type I errors (false positives) when you run multiple hypothesis tests. Every time you test a hypothesis, there’s a chance you’ll incorrectly… 

Type I and type II errors

Type I Error (False Positive) You reject a true null hypothesis — you conclude something is happening when it actually isn’t. Example:A medical test says a patient has a disease, but they actually don’t. Type… 

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