Bonferroni's Method for Pairwise Multiple Comparisons

✔ https://StudyForce.com ✔ https://Biology-Forums.com ✔ Ask questions here: https://Biology-Forums.com/index.php?... Follow us: ▶ Facebook:   / studyforceps   ▶ Instagram:   / biologyforums   ▶ Twitter:   / studyforceps   The Bonferroni method is a post-hoc procedure conducted after an ANOVA test or Kruskal-Wallis test whenever the null hypothesis has been rejected and have concluded a significant difference in at least 2 means. It is a pairwise comparison that distinguishes which groups are significantly different. Bonferroni uses confidence intervals to conclude a significant difference. The interval is calculated using the formula below: Where B=Z_((1−α/2g) ) and g is the number of pairwise comparisons of interest (usually all pairwise comparisons are investigated). g is calculated by g=k(k−1)/2. Q. Using the same example we used in our previous lesson, Based on the Kruskal-Wallis test, we concluded that at least two treatment group means differed @ 0.05 significance level. Use the Bonferroni method to calculate confidence intervals for all the pairwise differences between the treatments. Use the 95% confidence level to find out which ones are significantly different.