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To compare multiple group means, one-way analysis of variance (ANOVA) was used.
For each significant treatment effect, the Newman-Keuls test was utilized to compare multiple group means.
Dunnett's multiple comparisons test was used to test significant effects among multiple group means.
Comparison between multiple group means was by one-way ANOVA and the differences between frequencies/proportions by χ test.
When F ratios were significant (P < 0.05), one-way ANOVA was followed by Tukey's Post hoc test for comparisons of multiple group means.
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Differences in multiple groups' mean values were assessed by Dunnett's analysis after Bartlett test.
We made comparisons between multiple-group means with a Bonferroni corrected t test for pairwise group comparisons.
Open image in new window Fig. 4 Multiple comparisons of group means test to check for differences among wave regimes of the three sites.
Since the ANOVA test cannot determine which particular pairs are 'significantly different', a multiple comparisons of group means test is carried out to support the Tukey Kramer test previously performed.
The multiple comparisons of group means test is used to check for differences among the wave regimes prevailing at the three sites investigated as illustrated in Fig. 4. Also included are the lower and upper limits for the 95% confidence intervals for the true mean difference.
Using post-hoc multiple comparisons between group means (Fisher LSD), we found a significant increase in the gelatinase activity of the 100% group compared with the 21% group (p = 0.043) (Fig. 2).
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