Whether or not to use the Bonferroni correction depends on the circumstances of the study. It should not be used routinely and should be considered if: (1) a single test of the 'universal null hypothesis' (Ho ) that all tests are not significant is required, (2) it is imperative to avoid a type I er …
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Bonferroni Correction is a conservative test that protects from Type 1 Error. Our dissertation experts possess the knowledge needed to assist with the test.
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This tutorial provides an explanation of the Bonferroni correction, including a formula and several examples.
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The Bonferroni correction is an adjustment made to P values when several dependent or independent statistical tests are being performed simultaneously on a single data set. To perform a Bonferroni correction, divide the critical P value (α) by the number of comparisons being made. For example, if 10 hypotheses are being tested, the new critical P value would be α/10. The statistical power of the study is then calculated based on this modified P value.
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The Bonferroni Test is a type of multiple comparison test used in statistical analysis.
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