Bonferroni correction in statistical testing


What is Bonferroni correction (also known as Bonferroni test or adjustment) and what makes it important for testing? Suppose you ran 15 independent tests to understand the correlation between test scores and 5 demographic variables with an alpha level of 0.05. Can you walk through how Bonferroni correction would be helpful in this example?


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