Digby
 
If your distribution has a positive skewness as calculated (bulks towards zero with long tail into high value) the proportion below the mean will be significantly higher than 50%. If negatively skewed -- e.g. Calcium in limestone, iron in iron ore -- more than 50% will be above the mean.
 
The arithmetic mean is the equivalent of the centre of gravity -- one sample way out on the arm outweighs loads of samples close to the centre.
 
Welcome all to the new list
Isobel

Digby Millikan <[EMAIL PROTECTED]> wrote:
Is it correct that the probability of being above or below the mean of a skewed
distribution is not necessarily 0.5?
 

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