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The Bonferroni correction: Use α′ = α/(no. tests) as the significance level for each test. For example, with 10 groups and so 45 pairwise tests, we would use α ...

The Bonferroni correction adjusts probability (p) values because of the increased risk of a type I error when making multiple statistical tests.

Bonferroni's correction is an adjustment to the significance level used to evaluate the statistical significance of an individual comparison.

2021/11/21 -A Bonferroni correction is used whereby the significance level is adjusted to reduce the probability of committing a Type 1 error.

The Bonferroni and Šídák methods can determine statistical significance, compute adjusted P value, and also compute confidence intervals.

Bonferroni's method provides a pairwise comparison of the means. To determine which means are significantly different, we must compare all pairs.

The Bonferroni correction adjusts your significance level to control the overall probability of a Type I error (false positive) for multiple hypothesis tests.

The Bonferroni method is a simple method that allows many comparison statements to be made (or confidence intervals to be constructed) while still assuring an ...

The Bonferroni test is a multiple-comparison correction used when several dependent or independent statistical tests are being performed simultaneously.

2024/8/21 -The Bonferroni test is a statistical comparison test that involves checking multiple tests limiting the chance of failure.