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A summary of our results in terms of these averages is given in Table 1, which consists of six panels each of which corresponds to one of our six simulation scenarios.
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The averages are given as mean±s.e.m.m
For exponential distribution data, averages were given as median ± SEM and statistical significance was tested using the Kolmogorov-Smirnov test.
For normally distributed data, averages were given as mean ± SEM (standard error of the mean) and statistical significance was tested using the Student's t-test.
Averages are given with the standard deviation.
Two averages are given |ΔDAF| - Models 2 and 5 before the slash; Models 1, 3 and 4 after the slash.
For normally distributed data, population averages are given as the means±S.E.M., and statistical significance was tested using the Student's t test.
Group averages are given in Table 2. *indicates missing data on these variables *Estimate from intention-to-treat ANCOVA controlling for baseline symptoms with maximum likelihood imputation of missing values.
and the amount of retransmissions on average is given by E [ R ] = P b + P c P s. (26).
An overview of Bayesian model averaging is given in the appendix.
The average Clustering Coefficient of the whole network C average is given by where N=|V| is the number of vertices.
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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