Your English writing platform
Discover LudwigExact(40)
Kruskal-Wallis test with post-hoc Dunn test.
Nonparametric statistical analysis was performed with the Kruskal-Wallis H test and post hoc Dunn test.
Adjusted p values compare CT1 versus CT2 and CT4 versus CT5, Kruskal-Wallis test with post-hoc Dunn test.
The results were evaluated by Kolmogorov-Smirnov and Kruskal-Wallis test followed by Dunn test and for fertility rates was used Chi-square, considering a 5% significance level.
Note that each of these three groups were statistically different (Dunn test, two-tail pair-wise comparisons P ≤ 0.05; Fig. 11).
We then used the Kruskal-Wallis test to find statistically significant differences in vegetation changes based on the percentage of eWMUs and performed between-group comparisons using a post hoc Dunn test.
Similar(20)
Immunofluorescence data were expressed as means ± SEM and analyzed by one-way or two-way ANOVA followed by Bonferonni-Dunn test.
One- and two-way analysis of variance (ANOVA) and the Bonferroni-Dunn test were used for comparison of individual treatment groups.
All experiments were analyzed by ANOVA, and some experiments were evaluated by comparing treatment means to the control using the Bonferroni-Dunn test.
Data were analyzed by two-way ANOVA, or two-way repeated-measures ANOVA, or one-way ANOVA followed by Bonferroni-Dunn test unless noted otherwise.
Lowercase letters indicate Dunn-test two-tail pair-wise comparisons within groups P ≤ 0.05.
Write better and faster with AI suggestions while staying true to your unique style.
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