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The Levine's test of variance was violated when analyzing the variance between the two study groups for the MFG (left and right: p < 0.001).
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We analyzed the variance between all m/z peak intensities after calibration, smoothing, alignment, and normalization, and the coefficient of variation (CV) was found to be less than 10% for all the selected mass peaks (Additional file 1: Figure S1).
There are several potential approaches to analyzing the variance in the experiment: The variability between repeated probes on the same array.
To further study the different properties of external and internal regions, we analyzed the variance in GC-content and correlations between CDS part ranks along genes.
Following this, we analyzed the variance components in the begging calls to apportion the observed variance to differences between hunger levels and individuals.
ANOVA software statistical system was used with Tukey's testing to analyze the variances and significances of difference between paired means.
Data were presented as the means±S.D. using Student's t-test (two-tailed) or one-way analysis of variance for analyzing the difference between groups.
The Gelman and Rubin diagnostic methodology presented in [23, 28] compares the samples drawn from several independent sequences with different starting points and quantitatively evaluates mixing by analyzing the within-sequence and between-sequence variance.
After assessing the variance between the trait-clusters, one can go into more detail by analyzing each cluster alone, assessing the variance within.
Statistical analysis was performed to analyze the significance of variance between the three groups using the Kruskal-Wallis one-way analysis of variance by ranks, as the data showed a nonparametric distribution.
One way ANOVA was used to analyze the significance of variance between cell types from 3 separate experiments, each performed in quadruplicate.
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