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The blue line in each box plot indicates mean of the sample population.
Here stochastic persistence is defined as the mean of the sample paths of the solution in time.
The mean of the sample is 3.22, its median is 3.0, and a negative skewness value (-0.249).
The significance of the calculated Student's t-test statistic (which tests H 0, i.e. the mean of the sample estimates equals the population mean) was also calculated.
For each substratum, a random sample of ACD values (representing field plots) was selected from all possible ACD values of the substratum and the mean of the sample was compared to the mean of all ACD values of the substratum.
To calculate the underlying sample sizes of the correlation matrices, we used the conservative harmonic mean of the sample sizes of the respective matrix (e.g. Stajkovic et al. 2009; Viswesvaran and Ones 1995), leading to N = 1159 in the external model and N = 3363 in the internal model.
Similar(36)
The mean of the samples were related to the respective solvent controls.
For each expression value, the ratio to the geometric mean of the samples was log2 transformed.
Afterwards, the mean of the samples for each treatment was calculated.
Green vertical line corresponds to the mean of the sampled data.
For smaller values of τ, the mean of the sampling distribution over ρ (i) is greater than for larger values.
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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