Data organized into discrete categories or classes may present problems for certain analyses if the number of observations ($n$) belonging to each class is not constant across classes. Classes with unequal $n$ are unbalanced. This tag should be used for questions about datasets with subsamples of unequal size where imbalanced distributions across categorical factors is of concern.

Analyses with known, non-negligible sensitivity to unbalanced classes include (but are not limited to):


Howell, D. C. (2009). Unequal sample sizes do matter. University of Vermont. Retrieved from http://www.uvm.edu/~dhowell/StatPages/More_Stuff/Unequal-ns/unequal-ns.html.

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