Uploaded May 2021 | Updated September 2026, 12 hours ago
The Mann-Whitney U Test can be used to test whether there is a difference between two groups, and the data need not be normally distributed.
To determine this difference, the rank sums of the two groups are used rather than the means as in the t-test for independent samples.
The Mann-Whitney U test is thus the non-parametric counterpart to the t-test for independent samples; it is subject to less stringent requirements than the t-test. Therefore, the Mann-Whitney U test is always used when the requirement of normal distribution for the t-test is not met.
More Information about the Mann-Whitney U Test:
numiqo.com/tutorial/mann-whitney-u-test
Statistics Calculator:
numiqo.com/statistics-calculator/hypothesis-test/mann-whitney-u-test
The Mann-Whitney U Test can be used to test whether there is a difference between two groups, and the data need not be normally distributed.
To determine this difference, the rank sums of the two groups are used rather than the means as in the t-test for independent samples.
The Mann-Whitney U test is thus the non-parametric counterpart to the t-test for independent samples; it is subject to less stringent requirements than the t-test. Therefore, the Mann-Whitney U test is always used when the requirement of normal distribution for the t-test is not met.
More Information about the Mann-Whitney U Test:
numiqo.com/tutorial/mann-whitney-u-test
Statistics Calculator:
numiqo.com/statistics-calculator/hypothesis-test/mann-whitney-u-test
![Hierarchical Cluster Analysis [in 60 sec.] #shorts](https://i.ytimg.com/vi/W9j5pAIYbQQ/mqdefault.jpg "Hierarchical Cluster Analysis [in 60 sec.] #shorts
A hierarchical cluster analysis is a clustering method that creates a hierarchical tree or dendrogram of the objects to be clustered. The tree represents the relationships between objects and shows how objects are clustered at different levels.
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