Significance of Mann–Whitney U-test
The Mann-Whitney U-test is a non-parametric statistical test widely used to compare differences between two independent groups. It is often employed when the data does not follow a normal distribution, making it suitable for ordinal or continuous variables. The test assesses whether the two groups originate from the same distribution, evaluating significant differences. Researchers apply this test in various studies, including health sciences and clinical trials, to analyze and compare data.
Synonyms: Wilcoxon rank-sum test, Mann-whitney test, Rank-sum test
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Hindu concept of 'Mann–Whitney U-test'
In Hinduism, the Mann-Whitney U-test assesses the effectiveness of two trial drugs. It statistically compares the outcomes of Trial drug-1 and Trial drug-2 to determine if there's a significant difference.
From: International Research Journal of Ayurveda and Yoga
(1) This test is carried out as a comparison between Group A and Group B. There is a significant difference between the two groups.[1] (2) This test was carried out for comparison between Group A and Group B to assess the comparative effect of the trial drug.[2] (3) This test is carried out for comparison between Group A and Group B in this study.[3] (4) For the effectiveness of Trial drug-1 and Trial drug-2, Mann–Whitney-U test was used.[4]
The concept of Mann–Whitney U-test in scientific sources
The Mann-Whitney U-test is a non-parametric statistical method. It is used to compare differences between two independent groups when data isn't normally distributed. It assesses whether the groups come from the same distribution or have significant differences in their ranks.
From: International Journal of Environmental Research and Public Health (MDPI)
(1) The Mann–Whitney U test is used to compare overlapping bacterial taxa from both random forest and LEfSe between ACE groups, providing a non-parametric statistical comparison between the groups.[5] (2) The Mann–Whitney U test is a nonparametric statistical test used to compare the medians of two independent groups, such as the PE and GH groups, to determine significant differences in biochemical parameters.[6] (3) The Mann–Whitney U test is a non-parametric statistical test used to compare two independent groups, and demographic and psychological data between the pro-gamer group and the IGD adolescent group were analyzed using the Mann–Whitney U test.[7] (4) The Mann–Whitney U test was used for statistical analysis to compare the data obtained using the Texium TM /SmartSite TM and Equashield ® , showing a significant difference in their effectiveness.[8] (5) Mann–Whitney U test was performed to evaluate the gene expression fold differences of the OCCC and the control groups, with results corrected through multiple hypotheses testing.[9]
From: Sustainability Journal (MDPI)
(1) This test is utilized to pinpoint where the differences lie between the means of different groups, indicating specific areas of divergence.[10] (2) A non-parametric statistical test used to compare the distributions of two independent samples, which in this case, was employed to analyze non-normally distributed ordinal variables.[11] (3) The Mann–Whitney U test was used for pairwise comparisons between MP abundances, characteristics, and sampling sites along the Lis River in distinct seasons.[12] (4) The means were examined, and the location of differences was determined, through the utilization of the Mann-Whitney U test.[13] (5) A statistical test used to analyze significant differences between temperature before and after a cut, and to test significant differences when weather and data of vegetation temperature were not normally distributed.[14]
From: The Malaysian Journal of Medical Sciences
(1) This test, along with Bonferroni correction, was used for paired comparisons to determine significance levels.[15] (2) A non-parametric statistical test used to compare two groups, which was used in the study because some groups had small sample sizes.[16] (3) This specific non-parametric statistical test was employed to compare the differences between two independent groups when the data was not normally distributed.[17] (4) The Mann-Whitney U test is a non-parametric statistical test used to compare two independent samples when the data is not normally distributed.[18] (5) Mann-Whitney U test is a statistical test used to compare the OD values for both types of isolate and was used in the study.[19]
From: Asian Journal of Pharmaceutics
(1) This was used along with Spearman’s rank correlation and χ 2 test using application software SPSS v.16 to estimate intra- and inter-group differences.[20] (2) This is a statistical test conducted to analyze the domains of perceptions of generic medicines, Vietnamese generic medicines, and factors influencing prescriptions. It was used to analyze the last three domains.[21] (3) A non-parametric equivalent used in case of non-normal distribution of data.[22] (4) It was used to examine the relationship between attitudes and knowledge.[23] (5) It is a non-parametric test used to compare two unrelated samples.[24]
From: South African Family Practice
(1) This test was employed to compare the differences between two independent groups, specifically when the dependent variable is ordinal or continuous, but the data is not normally distributed or non-parametric.[25]
From: South African Journal of Physiotherapy
(1) This test was used as a post-hoc test for group pair comparisons, and it helped in comparing anthropometric, demographic, and kinematic variables.[26]
From: African Journal of Primary Health Care and Family Medicine
(1) This is a statistical test used to compare the differences between two independent groups when the data is not normally distributed.[27]
From: South African Journal of Psychiatry
(1) This is a statistical test used to compare the differences between two independent groups when the data is not normally distributed.[28]
From: Religions Journal (MDPI)
(1) The Mann–Whitney U test was used as a statistical test in the comparative analysis of males and females in the research group in the context of addictive behaviour and social intelligence, assessing statistically significant differences.[29]