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Inspired by the recent incident in which a professor was able to [detect that students in his class were cheating][1], I'm curious if there is a standard way to detect if a distribution is bimodal, or a standard measure of the 'bimodality' of a distribution. Does such a test exist? What are caveats that I should be aware of in such a test? |
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Well the most simple way is to plot the kernel density function. If your data has a bimodal distribution then it will certainly show up in the graph. For more complicated analysis you can try to fit a mixture model, in order to determine the cause of bimodality. Try asking in site Cross Validated for more answers. |
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You want goodness of fit tests. You can start reading on Wikipedia. |
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