{"id":216716,"date":"2025-01-24T06:08:42","date_gmt":"2025-01-24T06:08:42","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-does-mann-whitney-u-value-mean\/"},"modified":"2025-01-24T06:08:42","modified_gmt":"2025-01-24T06:08:42","slug":"what-does-mann-whitney-u-value-mean","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-does-mann-whitney-u-value-mean\/","title":{"rendered":"What does Mann-Whitney U value mean?"},"content":{"rendered":"

The Mann-Whitney U value is a statistical measure used to compare the distributions of two independent groups. Named after Henry Mann and Donald Whitney, it is commonly employed when the variables of interest are ordinal or non-normally distributed. This nonparametric test allows researchers to assess whether there is a significant difference between the groups in terms of their median values.<\/p>\n

The Mann-Whitney U test calculates a U value based on the ranks of the observations from both groups. The U value represents the sum of ranks for one of the groups, usually the smaller or the first group mentioned in the analysis. It essentially summarizes the collective rank ordering of the observations within each group. By comparing the U value to critical values from the Mann-Whitney U distribution, researchers can determine the statistical significance of any observed differences between the groups.<\/p>\n

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