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In all tests, the validity criteria were fulfilled (variance of the controls: (a) variation from the mean ≤ 7.5%, (b) variation Kmin from Kmax ≤15%).
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We tested whether model assumptions (i.e., normally distributed residuals and homogeneity of variances) were fulfilled and transformed data if necessary.
The association between baseline characteristics and MCS score was assessed using χ statistics for categorical variables and analysis of variance for continuous variables, or Kruskal-Wallis tests when the conditions for analysis of variance were not fulfilled.
However, it is shown in [1] that even when the vocal tract filter follows an actual all-pole model, this criterion of goodness is not fulfilled by the classical minimum variance predictor.
This test was done to supplement the result from the ANOVA, as the assumption concerning similar variance was not fulfilled.
As the data was not normally distributed and the assumption for equal variances was not fulfilled, Kruskal-Wallis test was applied.
Data were transformed because Levene's test for equality of variance values was not fulfilled.
If the assumptions of normality and homogeneity of variance are not sufficiently fulfilled, the outcome data will be transformed.
The graphs also demonstrate that statistical requirements of homogeneity of variance and linearity were fulfilled for all dependent variables in the tested study period.
Primary assumptions of parametric testing were fulfilled (Gaussian distribution, homogeneity of (error) variances).
By statistical tests it has been verified that prerequisites for the two-way ANOVA like normal distributed expression ratios and equal variances across samples are fulfilled.
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CEO of Professional Science Editing for Scientists @ prosciediting.com