Examples of 'kruskal-wallis test' in a sentence
Meaning of "kruskal-wallis test"
Kruskal-Wallis Test: A statistical test used to determine if there are statistically significant differences between three or more independent groups
How to use "kruskal-wallis test" in a sentence
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kruskal-wallis test
A Kruskal-Wallis test was also carried out.
Means were compared by the nonparametric Kruskal-Wallis test.
The Kruskal-Wallis test was used for comparisons of medians.
No significant differences were detected with a Kruskal-Wallis test.
The Kruskal-Wallis test was used to analyze nonparametric data.
In the torsion assays we used the Kruskal-Wallis test.
A Kruskal-Wallis test was applied for comparisons across ages.
Data were analyzed statistically through the Kruskal-Wallis test.
The Kruskal-Wallis test was used to compare all groups.
Multiple groups were compared with the Kruskal-Wallis test.
The Kruskal-Wallis test was used to compare the three groups.
The notes of each characteristic were compared by kruskal-wallis test p.
The Kruskal-Wallis test was used for multiple independent samples.
Group means were compared through the Kruskal-Wallis test.
The Kruskal-Wallis test was used as a further analysis method.
See also
A reliability analysis was executed using the Kruskal-Wallis test.
The Kruskal-Wallis test was used for the intergroup statistical analysis.
Comparison of unpaired observations was carried out using Kruskal-Wallis test.
We also used the Kruskal-Wallis test for comparison between groups.
Differences related to septic status were analyzed with the Kruskal-Wallis test.
Kruskal-wallis test or fisher 's exact test was used to analyze continuous or categorical.
The results were submitted to the kruskal-wallis test complemented by dunn 's method.
Variables compared between subgroups were assessed by the nonparametric Kruskal-Wallis test.
The Kruskal-Wallis test was used to determine significance differences between two groups.
The three age groups were compared using the Kruskal-Wallis test.
The Kruskal-Wallis test for analysis of variance was used with non-parametric variables.
Continuous outcomes were compared between groups with the Kruskal-Wallis test.
Nonparametric Kruskal-Wallis test was applied to compare those measures among the four groups.
Data were submitted the statistical analysis using the kruskal-wallis test.
The Kruskal-Wallis test was used to compare company characteristics at baseline, which were nonnormal variables.
The differences of these groups were examined by the Kruskal-Wallis test.
The Kruskal-Wallis test was used to compare the groups of non-parametric continuous variables.
The data were statistically analyzed by means of the kruskal-wallis test or mann-whitney.
The nonparametric Kruskal-Wallis test was used to compare the medians of each relevant variable.
As only age had a nonnormal distribution, the nonparametric Kruskal-Wallis test was used.
In both groups, the kruskal-wallis test indicated similarity between the time inte.
To compare numerical variables between groups at baseline, the Kruskal-Wallis test was used.
The Kruskal-Wallis test is a nonparametric test that compares three or more unpaired groups.
Variables with non-Gaussian distribution were compared using the Kruskal-Wallis test.
For the multiple comparisons the kruskal-wallis test was used with post hoc of dunn.
The comparisons between groups were made through the nonparametric kruskal-wallis test.
The nonparametric Kruskal-Wallis test was used in order to compare continuous variables between the groups.
For multiple comparisons, the variance analysis or the Kruskal-Wallis test was used.
The nonparametric Kruskal-Wallis test showed significant differences between the groups of chronic diseases.
Data were analyzed using descriptive statistics kruskal-wallis test and fisher 's exact test.
The Kruskal-Wallis test is the corresponding nonparametric test for comparing three or more groups.
The differences in the means of numerical variables were tested using the Kruskal-Wallis test.
The Kruskal-Wallis test is a useful test to decide whether independent samples come from different populations.
The quantitative variables were compared between the groups using the Kruskal-Wallis test.
A significant Kruskal-Wallis test indicates that at least one sample stochastically dominates one other sample.
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Examples of using Kruskal-wallis
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A Kruskal-Wallis test was also carried out
Means were compared by the nonparametric Kruskal-Wallis test
The Kruskal-Wallis test was used for comparisons of medians
