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Median is pretty pointless, but so is mean. An actual distribution would be much better than both.


Obviously a distribution would be best, but for a single number, the mean is better. For example, if groupon says they have 100,000 customers and they will have 200,000 customers next year, and the mean # of groupons per customer is 2.5, then I can compute that they sell 250,000 groupons per year, and if they get 200,000 groupons, they will sell 500,000 groupons per year. The median tells us none of that.


yes, an actual distribution would be the most useful, but Groupon hasn't provided that data.




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