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Tukey's multiple comparison test was used to determine which means among a group of means were statistically different.
Since the most extended way to analyse log2 ratios from microarray studies are based on normal distribution (Allison et al., 2006; Dobbin and Simon, 2005) and the fact that independent means follows a Normal distribution by the application of the Central Limit Theorem we have consider a Normal Distribution for the group of means obtained from each microarray study.
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The result of the single-factor ANOVA (Table 5) indicates that the sample sites show a significant effect on variation between groups of means for the physicochemical parameters and trace metals at different stations.
Differences among different groups of means were compared with unpaired t-test for two means and ANOVA for multiple means.
This method was preferred because it prevents the occurrence of overlapping groups of means, and thus facilitates interpretation.
The Ryan-Einot-Gabriel-Welch multiple range test (REGWQ) was used for post-hoc comparisons for overlapping groups of means.
The differences between the different groups of means, as presented in Figure 4(a), are statistically significant for all the considered values of voltage.
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CEO of Professional Science Editing for Scientists @ prosciediting.com