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Mann Whitney U Test for Independent Samples This test is similar to an independent groups test, however, the dependent variable is measured on an ordinal scale (ranked data). This test is used to
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The Mann-Whitney U test is a nonparametric test used to compare two independent groups when the dependent variable is ordinal or continuous, but not normally distributed.
Researchers or statisticians who are conducting experiments and analyzing data where the assumptions of parametric tests are not met may use the Mann-Whitney U test.
To fill out the Mann-Whitney U test, data from the two independent groups must be collected, ranked, and analyzed using statistical software. The U statistic and p-value are calculated to determine if there is a significant difference between the groups.
The purpose of the Mann-Whitney U test is to determine if there is a statistically significant difference between two independent groups on a particular variable.
The Mann-Whitney U test results should include the U statistic, the p-value, and a conclusion about whether the null hypothesis is rejected or not.
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