![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)
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.
![Week 12 - Where do differences between the means lie - ANOVA multiple comparisons among treatment means Flashcards | Quizlet Week 12 - Where do differences between the means lie - ANOVA multiple comparisons among treatment means Flashcards | Quizlet](https://o.quizlet.com/DAcHriRvjq-H4rtNVz62iw.png)
Week 12 - Where do differences between the means lie - ANOVA multiple comparisons among treatment means Flashcards | Quizlet
![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
MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction | PLOS ONE
![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)