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The difference between multiple values for the same configuration is in the range 0 3%.
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This technique generates multiple values for respective points of missing data to account for missing-data uncertainty, creating multiple data sets, and introducing between-imputation variance.
For populations with multiple mutations, we recorded multiple values for the applicable parameters.
Figure 10 shows the value of for different values of for multiple values of.
For populations with more complex dynamics involving multiple upslopes and/or downslopes, we compute the multiple values of these parameters and distinguish between them with subscripts.
The difference between the MDC values based on the SEM for one rater (1.10 s) and 2 raters (1.14 s) was small (0.04 s); therefore, we suggest choosing 1 MDC value to avoid the use of multiple values.
These charts compare multiple values.
Kruskal-Wallis one-way analysis of variance and multiple chi-square tests were used for comparisons between multiple groups, and P-values were adjusted with the Bonferroni correction for multiple testing.
Differences in the logarithmically transformed values for HGF levels between multiple groups were examined by using analysis of variance (ANOVA) and Bonferroni's multiple comparison test.
Assessment of likelihood values for multiple STRUCTURE runs indicates that the best supported hypothesis of true population structure occurs between K = 3 and K = 4.
We did not adjust P values for multiple comparisons.
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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