5 votes
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Upper bound for random correlation

As discussed here, the sampling distribution of correlation for uncorrelated Gaussian variables covers the entire range of $[-1,1]$. While you have not assumed Gaussian variables, you have not ruled ...
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1 vote
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Verify relationship between a categorical and numerical variable

As Dave mentioned above, ANOVA (Analysis of Variance) might be a starting point for what you're looking for. This technique will help you identify differences between the variances by looking at the ...
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1 vote
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assessing which random sample agrees more with a preferred ranking

Yes, it's just expected value. If you multiply the ranks by the frequencies (%) and sum it, they would be weighted by how popular they are. You would get the average rank, so the lower the better. For ...
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