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Sphericity was tested with a Mauchly-Test and homogeneity of variance was tested using Levene's Test.
Homogeneity of variance was tested using Levene's test (car-package).
Normal distribution of data was tested using the Kolmogorov-Smirnov test and equal variance was tested using Levene-Median test.
Data were analyzed by one-way ANOVA on ranks, and the source of significant variance was tested using Dunn's post-hoc test.
Data were analyzed by two-Way ANOVA, and the source of significant variance was tested using Student-Newman-Keuls post-hoc test (n = 15 16 muscles per group).
Equality of variance was tested using Levene's test.
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Abrupt changes in mean and variance are tested using the Pettitt technique and the Loess method.
The variance is tested using the Levene test13.
Assumptions of parametric tests, data normality and homogeneity of variance were tested using Shapiro Wilk and Levene test (or F test for equal variance when two groups were compared), respectively.
Model assumptions of normality and constant variance were tested using Q-Q plots, and plots of residuals versus predicted values, respectively.
Normality and variance were tested using the One-Sample Kolmogorov-Smirnov, skewness and kurtosis, histograms, and Q-Q plots for each variable.
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