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- You may still want to use the Bonferroni correction to adjust the importance degree.
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Now, you could have meant that you just ran 2 “sets” (i.e. by way of totally different methods, e.g. Tukey and Hsu) of pairwise comparisons? Better would have been “two planned pairwise comparisons had been performed” (meaning you compared solely 2 pairs). Pairwise is to be understood as contrasting with the omnibus nature of the one-way ANOVA; ANOVA performs an omnibus comparability, the post-hoc tests carry out pairwise comparisons (on all attainable pairs, or only chosen pairs). The different samples you compare in a one-way ANOVA are usually called teams, ranges (of a single factor), or classes.
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When we do multiple pairwise comparisons, the Bonferroni correction is to make use of the original significance level divided by variety of deliberate contrasts. The Bonferroni correction involves adjusting the importance level to guard from the inflation of risk of Type I error. (Because there is just one pairwise comparison, we will use unique significance degree.)
To be conservative, these are wider than necessary for comparisons. The proof of a difference is actual, but the distinction itself is in all probability not significant in context. The arrow length is calibrated to the comparison standard error three.
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