Yes, here we go again and again...
--- In vpFREE@yahoogroups.
>
> Variance, as a mathematical measure, best describes the range of
> outcomes for an event that has a true "normal" distribution (e.g. the
> flipping of a penny or roll of a die).
Neither the flipping of a penny nor the roll of a die produces a "normal" distribution of
outcomes (normal meaning gaussian or bell-curve). Not even close. Both should produce
even distributions (discrete even distributions)
If you summed the output of multiple rolls, or multiple die, as the number things you
summed increases, the distribution would begin to look more "normal". In that case, the
standard deviation would go as 1/sqrt(N) where N is the number of rolls you summed up,
since there is NO correlation between die.
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