![Bonferroni adjustment Bonferroni adjustment (equally weighted) – Reject H 0j with p i <α/m – Pr (at least 1 test is rejected) = Pr(⋃ i=1,…,m {reject H. - ppt download Bonferroni adjustment Bonferroni adjustment (equally weighted) – Reject H 0j with p i <α/m – Pr (at least 1 test is rejected) = Pr(⋃ i=1,…,m {reject H. - ppt download](https://slideplayer.com/10067588/32/images/slide_1.jpg)
Bonferroni adjustment Bonferroni adjustment (equally weighted) – Reject H 0j with p i <α/m – Pr (at least 1 test is rejected) = Pr(⋃ i=1,…,m {reject H. - ppt download
![P-values in a "pairwise.prop.test" from the stats package on R using a Bonferroni correction - Stack Overflow P-values in a "pairwise.prop.test" from the stats package on R using a Bonferroni correction - Stack Overflow](https://i.stack.imgur.com/QUFg7.png)
P-values in a "pairwise.prop.test" from the stats package on R using a Bonferroni correction - Stack Overflow
![Adjusting for Multiple Comparisons: Bonferroni, Tukey's HSD, and Scheffe's Test - Accredited Professional Statistician For Hire Adjusting for Multiple Comparisons: Bonferroni, Tukey's HSD, and Scheffe's Test - Accredited Professional Statistician For Hire](https://www.scalestatistics.com/uploads/3/0/4/1/30413390/7356599_orig.jpg)
Adjusting for Multiple Comparisons: Bonferroni, Tukey's HSD, and Scheffe's Test - Accredited Professional Statistician For Hire
![SOLVED: Question 4 (1 point) A Bonferroni correction is when You apply a criterion for significance based on the usual criterion for significance (.05) divided by the number of tests performed: You SOLVED: Question 4 (1 point) A Bonferroni correction is when You apply a criterion for significance based on the usual criterion for significance (.05) divided by the number of tests performed: You](https://cdn.numerade.com/ask_previews/e6d1089c-b7a4-4033-96c7-9b226209114d_large.jpg)
SOLVED: Question 4 (1 point) A Bonferroni correction is when You apply a criterion for significance based on the usual criterion for significance (.05) divided by the number of tests performed: You
![SOLVED: Using a Bonferroni correction for multiple comparisons, and using the formula alpha/m, where m is the number of comparisons, this is the largest the type error can be across the tests. SOLVED: Using a Bonferroni correction for multiple comparisons, and using the formula alpha/m, where m is the number of comparisons, this is the largest the type error can be across the tests.](https://cdn.numerade.com/project-universal/previews/df943693-549d-4711-b047-b9a19a9b27a9.gif)