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Hi,I am running a few Mann-Whitney test in order to test the significance of different ordinal or categorical variables (socio-logical etc) on the result of a test (that test defining "knowledge" via a score). I wanted to understand better the results and the meaning of the Distributions charts that you can create by ticking the Distributions box under Charts in the Comparison of two samples window you use to run the MW test. Any explanation would be greatly appreciated. I don't understand the distribution itself nor the "Expected value (obs)" Thank you in advance
The graph allows you to decide whether you should reject or not the null hypothesis by comparing the observed value with the critical value.
Example: For an upper-tailed test if the observed value (U for MW test) is higher than the critical value then you can reject the null hypothesis at p<0.05. The distribution itself represents the distribution of the statistic of the test.
Let me know should you need further explanations.
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