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The differences were considered to be significant at levels of P ≤ 0.05.
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The inhibitory effect was significant at levels of 500 and 1000 ppm [46].
All regressions were significant at level p < 0.001.
Parameter estimates for the global models are significant at level p < 0.01 and have negative spatial trend (Slope β).
Analysis of variance (ANOVA) was applied to verify whether means from independent experiments within each given variant were significant at level P < 0.05.
Being (1−Nis significant at level α = 0.05.
We focus here only on those changes that are significant at level 0.05 or greater.
In bold are printed the differences which are significant at level 0.05 using a Wilcoxon rank sum test.
In bold are shown the differences that are significant at level 0.05 using a Wilcoxon rank sum test.
Spearman's correlation is significant at level 0.01 (bilateral).
All results were significant at level p < .001.001
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