Commentary

perform three t-tests (with 5 % significance level) to compare all pair-wise comparisons for three group means, the overall (actual) significance level is 14.3%. BONFERRONI’S MULTIPLE COMPARISONS One of the simplest and most widely used multiple comparison tests is the Bonferroni adjustment (test). It is applicable to the following situations: 1) Regardless of whether or not the sample sizes of each group are equal. 2) When the family of interest is the particular set of comparisons (not all pair-wise comparisons). We can easily obtain the results of the Bonferroni comparison by multiplying the number of comparisons by each P-value of the t-test. TUKEY’S MULTIPLE COMPARISONS This is applicable when the sample sizes of each group are equa