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Size variability in these human data (before and after puberty) is statistically presented as a series of box plots recording male and female trait size per age class for all cranial traits (Figure S3). Figure 3 presents analogous growth data for Pan troglodytes and Gorilla gorilla for traits FHT and BZW (for sample analysed see Electronic Appendix in [17]).
The values are statistically presented as follows: single asterisk, p < 0.05 vs. control diabetic rats (Diab); commercial at, p < 0.05 vs. respective control rats (Con) [i.e. on the same corresponding tea treatment].
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By characterizing flow using these parameters, and statistically presenting them for every phase of the flow, we are able to extract more information from the flow model [32].
The other existing AUs related to cognitive overload (e.g., head motion) were not statistically present enough in our dataset to be taken into account in this study.
Therefore, the data presented are for genes that were determined to be statistically present and found to have a statistically significant difference between control and vinclozolin samples.
Heterogeneity was statistically present in IRD (p < 0.001) and IRR (p < 0.001) methods as well as for SMD for this outcome, suggesting that treatment effects varied across studies.
Heterogeneity was statistically present for both outcomes, suggesting variability in treatment effects across studies when incidence rate-based methods were used, and for ED visits but not school absences when SMD was used.
Note that the correlations corresponding to the most significant entries in the mean correlation matrix (with absolute values greater than 0.5) are statistically present in all individual correlation matrices because corresponding standard deviations are relatively small (less than 0.2).
The detailed results of the statistical elaboration of the variables that presented statistically significant differences are presented below.
The data is presented statistically and is clearly comparative.
36 of them presented statistically significant differences (p ≤ 0.05) between untreated and treated samples: 32 were increased and 4 decreased.
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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