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The data distribution was found to be skewed and was transformed by log base 10 to produce a near normal distribution prior to statistical analysis (Fig. 1).
Using the Shapiro-Wilk test, an abnormal data distribution was found.
Normal distribution of data was checked through the Shapiro-Wilk test, and since data distribution was found inappropriate for normal distribution, nonparametric tests were chosen.
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The same distribution was found for the synthetic data (data not shown).
Baseline and maximum core body temperature during exercise were not different between lean, overweight, and obese subjects, whilst also exercise intensity (%HRmax) was comparable across groups (Table 2).> -wrap-foot> P value refers to a One-Way ANOVA Ln-transformation was applied to the cTnI data set, as a non-Gaussian distribution was found.
A similar distribution was found for SJR>3 (data not shown).
Normal distribution was found in all continuous data including, variables derived from conventional echocardiography and STE.
The gamma distribution was found to best describe the trial data compared to the normal or lognormal distribution (skewed to the right with no negative values) [ 18, 19].
In general Weibull distribution is found to fit the data well compared to the Gumbel distribution.
Similar changes in glycan distribution were found in products from other recombinant clones (data not shown).
The distribution is found to be superior to the existing sub models on being fitted to two real data sets.
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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