When the distribution is skewed left, it works the opposite way: the mean will be less than the median. I'm having trouble thinking of a straightforward example of a distribution that is skewed left, but an easy (if somewhat contrived) example would be "number of hours work to earn $10,000". For most people the number would be high; for a few it would be low. Here the mean is less than the median.
well, one real example is the typical classroom test distribution where the mean/median tend to be relatively high ... and, this would be really the case for a very EASY test ... most students will get high scores BUT, there is always SOMEbody who does not
another, though truthfully somewhat truncated, would be the distribution of standardized test scores at fairly selective colleges ...
--
Stan Brown, Oak Road Systems, Cortland County, New York, USA
http://OakRoadSystems.com/
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publicly, but if you do please identify it explicitly to avoid
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