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First, all data were tested for normal distribution applying Kolmogoroff-Smirnoff-tests.
Before performing ANOVA, all data were tested for homogeneity of variance using Levene's statistic.
All data were tested for normal distribution with Levene's test for homogenicity.
All data were tested for the normal distribution using the Kolmogorov Smirnov test.
All data were tested for normality using the Kolmogorov-Smirnov (K-S) normality test and considered normal.
Results were expressed as mean (±SD), and all data were tested for normal distribution by the Kolmogorov-Smirnoff test.
All data were tested as for the normality; therefore, a parametric test was applied for the comparisons of the groups.
All data were tested for normality and homogeneity of variance, and appropriate transformations (arcsine or square root) were applied where these conditions were not met before analysis.
All data were tested for homogeneity of variance using Brown Forsythe test (P < 0.05) and normality using Cramer von Mises test (P < 0.05).
All data were tested with the Kolmogorov-Smirnov test and the Levene's test to investigate the Gaussian distribution and the homoscedasticity.
First, all data were tested for homoscedasticity using Levene's test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com