Mann-Whitney test


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Mann-Whitney test

(ˈmænˈwɪtnɪ)
n
(Statistics) a statistical test of the difference between the distributions of data collected in two experimental conditions applied to unmatched groups of subjects but comparing the distributions of the ranks of the scores. Also called: Wilcoxon Mann-Whitney test
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Association of chemical risk factors was analyzed by mann-whitney test assuming level of significance of 0.
In this case, the Mann-Whitney test was performed to assess median equality of non-normal samples, as shown in Table 6 and 7, for the first and second shifts, respectively.
We employ the Mann-Whitney test to examine the differences between conventional and Islamic banks in terms of overall operational risk disclosure.
Therefore, using the Mann-Whitney test is applicable when comparing student performance for teaching methods.
Therefore, the Mann-Whitney test was used to determine if the male and female measurements were significantly different ([alpha] = 0.
Mann-Whitney test conducted to study awareness differences among genders and major two occupation groups as the data were not normally distributed.
Therefore, the Mann-Whitney test and dependent t-test were used for analyzing the quantitative data.
11) Mean dye penetration depth values were expressed in mm, and data were analysed by Kruskal-Wallis Test and Mann-Whitney Test at the 0.
The most frequently used tests were the t test (used in 297 of 1100 articles, or 27%), regression or analysis of variance (209 of 1100 articles, or 19%), [chi square] test (198 of 1100 articles, or 18%), Mann-Whitney test (167 of 1100 articles, 15.
Comparison of adult body size (head-abdomen), anterior and posterior wing span and width, larval developmental time and pupal development time between treatments was made using a Mann-Whitney test.
Mann-Whitney test on a bilateral indicate a value for p (SIG.