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Comparisons between the extent of nuclear staining for Ki67 between tissue types were evaluated using the Kruskal-Wallis test for equality of populations using Stata 8.0.
Comparison of age tested by Kruskal-Wallis equality of populations rank test.
We first applied the Kruskal-Wallis test for equality of populations.
The differences between not normal distributed variables were tested by ANOVA and Kruskal-Wallis test for equality of populations.
Table 4 presents the Kruskal-Wallis test of equality of populations means of socio-economic and health variables.
Census data and ages of patients in each category were compared with Kruskal-Wallis equality of populations rank test.
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ǂKruskal-Wallis equality-of-populations rank test.
**Denotes statistical significance for difference in distribution of oxygen saturation levels among the three groups via Kruskal-Wallis equality-of-populations rank test at α = 0.05.
The Kruskal-Wallis equality-of-populations rank test indicated that there was a statistically significant difference between the oxygen saturation levels of the three age groups (p = 0.018).
Box plots were adopted to visually describe data, and differences among groups were tested by using non-parametric tools (Kruskal-Wallis equality-of-populations rank test and Mann-Whitney test).
The Kruskal-Wallis equality-of-populations rank test was performed using an α level 0.05 to assess whether there was a statistically significant difference between the distribution of oxygen saturation levels among the three age groups.
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