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Also, by applying multiple comparison tests for statistical analysis of all differences among means of the other parameters at the same year, which included photosynthetic parameters, proportional of photosynthetic pigment, sucrose metabolism, and protein hydrolysates.
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By applying Tukey's multiple comparison tests to the data a level of confidence, p value was estimated for each compared pair (p > 0.05, p ≤ 0.01, p ≤ 0.001).
The geometric mean from each Kruskal Wallis test was determined to be statistically different by applying the multiple mean rank comparison.
Bonferroni correction was applied for multiple comparison.
One-way ANOVA (adjusted by Bonferroni correction) was applied for multiple comparisons of data, while the Student's t test was used for pairwise comparisons.
Two-way analysis of variance (ANOVA) was applied for multiple comparisons, followed by the Bonferroni post hoc test.
One-way and two-way analysis of variances (ANOVAs) followed by Tukey-Kramer's test were applied to multiple comparisons in the permeability study.
In the cytokine assay, one-way ANOVA followed by Tukey-Kramer's test were applied to multiple comparisons among the control, BMEC conditioned medium, and LPS-treated BMEC conditioned medium groups.
One-way ANOVA followed by Student Newman Keuls post-hoc test was applied for multiple comparisons.
Mean log viremia titers were compared by the Student t test, and the Bonferroni adjustment was applied for multiple comparisons.
As we tested our hypothesis for seven different chronic physical conditions, the significance level for multiple comparisons was controlled by applying the Bonferroni correction for multiple comparisons and p ≤ 0.007 was considered statistically significant.
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