Changes in Stroop task scores were assessed using repeated-measures analysis of variance (RM ANOVA) with the sit/walk condition as a fixed grouping variable, and simple post hoc analysis to determine differences from timepoint one, to timepoints two and three. EEG **data** were divided into time-bound epochs prior to each Stroop task, including: (1) Baseline, (2) Sit/Walk condition and (3) Lecture. Each mental state was analyzed separately, using repeated measures analysis of variance (RM ANOVA) with condition as a grouping variable. Repeated post hoc analysis was also included to determine differences between each timepoint. Finally, Pearson correlations and multiple analysis of variance (MANOVA) were utilized to elucidate the influence of survey instruments on mental states during the sit/walk condition. All **data** were analyzed in SPSS, with ANOVA being utilized for parsimonious comparison of epochs. While this overlooks dynamic changes within each time-bound epoch, it renders immediately interpretable results for comparison with similar research.