2.6. Statistical Analysis
The results of the experiment were analyzed using StatSoft Statistica 13.0 software. The results are presented as arithmetic means (x) with standard deviations (SD). The Lilliefors test was used to demonstrate the consistency of the results with normal distribution. The intergroup differences between consecutive research series were determined using a two-way ANOVA (group and training) with repeated measures. The significance of differences between individual research series (differences between series of testing) in the study groups was calculated using Tukey’s post hoc test. The area under the curve (AUC) for T and fT levels was calculated using the trapezoid method. Significant differences for AUC values between groups were determined using the one-way analysis of variance (ANOVA). The significance of differences between the study groups was calculated based on the post hoc Tukey’s test. The relationships between AUC for T and fT levels and changes in selected hematological variables were analyzed using the Pearson’s correlation coefficient. Statistical significance was set at 