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Under a Bernoulli distribution that assumes value 0 with probability p ( 0 ) and 1 with p ( 1 ), the mean μ is equal to p ( 1 ), while the median is given by: median = { 0 if p ( 0 ) > p ( 1 ), 0.5 if p ( 0 ) = p ( 1 ), 1 if p ( 0 ) < p ( 1 ).
For axillary branching scores the median is given; values were compared pairwise with U-tests.
For proportions, percentages are given, while for continuous and categorical variables the median is given with 10%and90%0% percentiles in parentheses.
Similar(57)
Standard deviation (SD), range or median are given as appropriate.
For all non-normally distributed data, the median was given along with the mean and standard deviation.
The ORs to achieve a Ratingen score above this median are given in Table 4, showing significant associations of a higher Ratingen score with the SE.
If only the median was given, the median was used instead of the mean and a SD was substituted that was calculated as the mean of the SDs available for studies that used the same outcome scale.
Medians are given with inter-quartiles range (IQR) [25%-75%-75%d were compared using the Kruskal-Wallis test.
Means or medians are given for those who remained non-diabetic and those who converted to diabetes.
Since the features show a highly skewed distribution, medians are given instead of averages and standard deviations.
For the geometric means, 95% confidence intervals are shown and for the medians, range is given.
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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