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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We used the Mann-Whitney U test or Wilcoxon rank-sum test (Hart, 2001) which is a non-parametric alternative test to the independent sample t-test.
First, the Mann-Whitney U test was used to analyze the data.
Evaluation of the statistical significance between mean ranks of different parameters of two groups were performed using Mann-Whitney U test.
Table 4 shows the mean ranks of each of the five skills found to be significant through the Mann-Whitney U test.
Proportions were calculated for different options and among male and female differences in opinion Mann-Whitney U test was applied.
As seen in the Table 1, the Mann-Whitney U test results show that the fluent writing levels of the 5th and 6th grade pupils differ significantly depending on whether they are placed in setting with or without music (U=69,500, p<.
For a pair-wise comparison of qualitative data, the chi-square and Fisher's absolute chi-square tests were run, whereas the Mann-Whitney U test was used for the pair-wise comparison of quantitative and non-normally distributed data.
Because of its basis in medians, the mathematics behind the Mann-Whitney U test are different; the test also has the benefit of not requiring the data to be distributed along a bell curve.
According to the results of the Mann-Whitney U test, which aimed to determine the self esteem levels of the attendees according to their marital status; a meaningful correlation between the attendees' marital status and self esteem levels was not encountered.
Maximum; ([dagger])(a) For comparisons between males and females within age groups, Mann-Whitney U test was used and Bonferroni corrected values of p<0.