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Because the regressors for the mean and variance (either | μ| and σ or the mean and standard deviation of LPR values) were orthogonal by design, this approach avoids any circularity or "double-dipping".
The observation that two very different normalization protocols yielded essentially identical results probably indicates that there is very little variance, either analytical or biological, among our samples.
Cochran's test was used to test for homogeneity of variance prior to ANOVA; in cases of non-homogenous variance, either log10 or forth-root transformations were used (after confirming homogeneity of variance for the transformed data).
Analyses of Molecular Variance (AMOVAs) showed that the split between North America and Europe did not explain a significant proportion of the observed genetic variance either at nuclear or at chloroplast markers.
No significant inter-group difference was found by repeated measures analysis of variance either.
Both of these methods inherently assume homogeneity of variance, either across time points or across treatment groups.
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According to Mecartty (2000), L2 syntactic knowledge explains little variance in either L2 listening and L2 reading comprehension.
The results of this analysis are then compared to those of the equivalent transient quasi-static analysis to assess the degree of variance in either solution.
The FMDFs of temperature are unimodal in samples with low mixture fraction variance, and either unimodal or bimodal, depending on the mixture fraction mean, in samples with high variance.
When the DPE derivative was held constant in the PS-Li capping reaction, the kinetic parameter (kSD) did not change with the variance of either concentration or degree of polymerization of PS-Li.
This component alone accounted for over 75% of the total variance in either dataset, and therefore, appears to be the most prominent pattern in our data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com