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I would like someone to analyze data using the Kruskal-Wallis test.
It's a small data set consisting of 29 survey respondents. Respondents rated 24 different career skills on a 4-point Likert scale indicating which skills they thought were most important to learn at university and which are better learned "on the job", i.e., after university.
For each of the 24 skills, I would like to know if a statistically significant difference exists between the mean score for the LEARN AT UNIVERSITY column versus the LEARN ON-THE-JOB column.
I have a table of the 24 skills and means for each of the 2 columns. I am in the process of getting the underlying raw data, which I assume would be needed in order to run Kruskal-Wallis.
The deliverable would be a list of the 24 skills noting which had a statistically significant difference across the 2 columns/means, and at what p-values.
This should be pretty quick and easy for someone who is familiar with statistics.
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