MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction | PLOS ONE
![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.
![PPT - Advanced Methods and Analysis for the Learning and Social Sciences PowerPoint Presentation - ID:2515475 PPT - Advanced Methods and Analysis for the Learning and Social Sciences PowerPoint Presentation - ID:2515475](https://image1.slideserve.com/2515475/bonferroni-correction-example1-l.jpg)
PPT - Advanced Methods and Analysis for the Learning and Social Sciences PowerPoint Presentation - ID:2515475
![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)