1952
DOI: 10.2307/2280779
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Use of Ranks in One-Criterion Variance Analysis

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Cited by 1,956 publications
(958 citation statements)
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“…This test evaluates the hypothesis that the averages of each group are equal; it combines the data of every group and orders them from least to greatest, and subsequently calculates the average range for the data of each group (Kruskal & Wallis, 1952). Figure 2 shows the four color groups formed by the urban dust, based on the Munsell color card: I) Dark reds (2.5 YR), II) Grays (10 YR), III) Clear reddish browns (5 YR), and IV) Clear grayish-browns (10 YR).…”
Section: Análisis De Datosmentioning
confidence: 99%
See 1 more Smart Citation
“…This test evaluates the hypothesis that the averages of each group are equal; it combines the data of every group and orders them from least to greatest, and subsequently calculates the average range for the data of each group (Kruskal & Wallis, 1952). Figure 2 shows the four color groups formed by the urban dust, based on the Munsell color card: I) Dark reds (2.5 YR), II) Grays (10 YR), III) Clear reddish browns (5 YR), and IV) Clear grayish-browns (10 YR).…”
Section: Análisis De Datosmentioning
confidence: 99%
“…Esta prueba evalúa la hipótesis de que las medianas de cada grupo son iguales, combina los datos de todos los grupos y los ordena de menor a mayor, posteriormente calcula el rango promedio para los datos de cada grupo (Kruskal & Wallis, 1952).…”
Section: Correlation Between Color Indices and Potentially Toxic Elemunclassified
“…Hypothesis testing was conducted using a preliminary goodness-of-fit (GOF) analysis to determine whether the datasets conform to normal and homoscedastic behavior; these included the Kolmogorov-Smirnov and Bartlett tests [24][25][26] . The GOF analysis showed that the datasets conformed to non-normal and heteroscedastic behavior; hence the non-parametric Kruskal-Wallis test was appropriate 27 . An optimal post-hoc multiple-comparison test was conducted for each of the factors and interactions, to identify the specific pairwise combinations of levels of each factor and interaction contributing to overall variability 28 .…”
Section: Discussionmentioning
confidence: 99%
“…Data were submitted to the non-parametric test of Kruskal-Wallis (p < 0.05) (Kruskal and Wallis, 1952).…”
Section: Methodsmentioning
confidence: 99%