Heterogeneity of the variances was assessed by Cochran's test
with no significant differences among variances.
Exploratory data analysis (Cochran's test) (LOPES, 2003), to assess the homogeneity of variances;
Using Cochran's test, the homoscedasticity of variances is compared; that is, it is possible to assess whether the variance of the obtained results by a group is excessive compared to the other groups; it is a one-sided test.
T-tests for comparative pair treatment and Cochran's test
were used to analyze the decision variables.
of maximum variance identified 1 analytical outlier.
Finally, the disagreements in classification among different analytic procedures are tested for significance using Cochran's test
for categorical outcomes and a rank based nonparametric analysis of variance for dependent sample design.