2.8. Statistical Analysis
In order to avoid possible trends in the results, initially, an identification of outlier values was performed. After that, the Shapiro–Wilk and D’Agostino and Pearson tests were used to verify the proximity of the data with a normal curve, followed by the variance homogeneity analysis, which was assessed using Levene’s test.Based on it, parametric data are presented as means and standard deviations, and using Student’s t-test the occurrence of significant differences between the means of the values of these variables was verified. In addition, the one-way ANOVA with Dunn’s post-test was used to determine differences between control and experimental variables. Pearson’s coefficient correlation test was also performed.Concerning the non-parametric data, their values were presented as medians and interquartile ranges, and by using the Wilcoxon test it was possible to assess the occurrence of significant differences between these variables. Additionally, the Friedman test was performed to determine differences between the control and experimental variables. Spearman´s coefficient correlation test was also used.Categorical data are presented as percentages and absolute numbers. All these analyses were performed using the Statistical Package for Social Sciences (SPSS, 21.0, IBM Corp., Armonk, NY, USA), and the significance level was set at 5% (