Mann-Whitney test


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Mann-Whitney test

[¦man ′wit·nē ‚test]
(statistics)
A procedure used in nonparametric statistics to determine whether the means of two populations are equal.
References in periodicals archive ?
The chemical risk factors were analyzed by Mann-Whitney test through statistical software SPSS (version 20.
When Scenario 2 was compared with Scenarios 3, 4, 5, 6, 7 of the first shift, the Mann-Whitney test resulted in a p-value that was less than 0.
The results of the Mann-Whitney test reported in Table 4 confirm that the operational risk disclosure has insignificant differences between conventional and Islamic banks.
Table 2 summarizes the Mann-Whitney test (Wilcoxon rank-sum test) results for Assignments.
Table 1 contains the descriptive statistics and results of the Mann-Whitney test and normal approximations for differences in cranial measurements and cranial capacities between male and female T.
Though both the values were close to 4 but the Mann-Whitney test indicates that there was a significant difference between the awareness A1 among the two gender groups.
The Mann-Whitney test was used to examine whether there was a significant difference between the students in the experimental group and the control group based on their pre-test and post-test scores of the SKT.
To compare the reading performance of real words of high and low frequency it was used the nonparametric Mann-Whitney test, with significant differences in reading the words (Table 4).
Table 4 shows the results of a Mann-Whitney Test to find out the effect of the addition of acid etching on the resin composite self-adhering flowable composite, in group 1 and 2 there was no significant difference (p> 0.
of articles evaluated 200 300 Articles using no statistics, % 30 6 Descriptive methods only, % 12 5 Articles using statistical tests, % 58 90 1 Student t test 19 59 2 Regression/ANOVA 14 42 3 [chi square] test 15 9 4 Mann-Whitney test (rank sum) 9 22 5 Fisher exact test 14 6 Survival analysis 13 14 6 Kaplan-Meier/log-rank 13 13 7 Cox regression 9 8 Multiple comparison adjustment 1 29 8 Tukey 1 11 9 Bonferroni 1 8 10 Newman-Keuls 0 4 11 [kappa] Statistic 4 1 12 ROC analysis 5 2 13 Logistic regression 4 1 14 Spearman rank correlation 3 5 15 Kruskal-Wallis test 4 6 16 Pearson correlation statistic 4 3 17 Normality test 2 2 18 McNemar test 1 0 Other tests 4 5 Avg tests per article (g) 1.
Therefore, non-parametric statistics were used, namely the Mann-Whitney test for two independent samples (sex and skill level), to test the differences between groups in two assessment moments, the pre-test (PreT) and the post-test (PosT).