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According to these results, non-parametric and parametric tests, respectively, were selected in order to answer the following questions: Is there any difference Liothyronine Sodium in the level of accuracy between the sensor fusion methods and the numerical integration approach? And, is there any difference between the accuracy of the SF and CF methods? To investigate the effect of the ��method�� factor, the Friedman test was performed separately on RMShead and RMSatt for the manual routine. When a significant ��method�� effect was found, pairwise comparisons were performed using the Mann-Whitney U test with the Sidak correction, after having verified the assumption of equality of variance between each pair of data. Similarly, for the locomotion task, a repeated measure one-way Analysis of Variance (ANOVA) was performed. The sphericity assumption was tested using the Mauchly test Crenolanib and the Greenhouse-Geisser correction was applied if this assumption was violated. If a significant p-value was reported for the ��method�� effect, the Sidak post hoc pairwise comparisons were performed using the relevant correction. The partial Eta squared measures were also computed, for each dependent variable, to give the proportion of variance accounted for by the ��method�� factor. Is there any difference in the orientation accuracy between the manual routine and the locomotion tasks? For each tested method, an independent Mann-Whitney U test was performed separately on the RMShead and RMSatt obtained in the manual routine and locomotion tasks, in order to investigate whether significant differences exist between the levels of accuracy of the two scenarios. The alpha level of selleckchem significance was set to 0.05 for all statistical tests. The statistical analysis was performed using IBM SPSS Statistics software package (IMB SPSS Statistics 21, SPSS IBM, New York, NY, USA). 3.?Results 3.1. Method Comparison For the manual routine, a significant effect of the ��method�� factor was observed for the heading error RMShead ( ��62=12, p
