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As in all statistical hypothesis tests, the significance of a permutation test is represented by its P-value.
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The p-values of this test are represented on Fig. 1.
The p-values of this test are represented in Fig. 1.
Results for the McNemar's Chi test are represented as Chi and the corresponding p value for 1 df.
Data are expressed as mean ± SEM. * and † indicates statistical significance in comparison to control and stress groups respectively and denotes *, † p < 0.05 and **, † † p < 0.01 Results of the behavioural despair test are represented in Table 2.
Those GO terms showing a Benjamin and Hochberg False Discovery Rate corrected P value <1e−10 in a hypogeometric statistical test were represented, together with their parent terms, in a hierachical layout.
The ISR over time for all the materials tested is represented in Figure 5.
Every treatment tested is represented by a minimum of three urine samples.
The joint effect of length and GC content on the power of the combined tests is represented in Figure 3C (α=10−2, Characterized set), showing very high power for sequences of all compositions of sufficient length (>0.90 for all classes of length > 400 450 codons).
Some of the categories included in the test were representing different situations within the same environment, such as nature during daytime or during nighttime and street with traffic or with police car.
The hypothesis tests are represented in Table 1.
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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