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Normal Distribution is a distribution that has most of the data in
the center with decreasing amounts evenly distributed to the left
and the right.
Skewed Distribution is distribution with data clumped up on one
side or the other with decreasing amounts trailing off to the left or
the right.
How to assess skew: Divide the skew (e.g., 1.20) by the standard
error of the skew (e.g., 0.30). If the result is greater than +2.0 then
the distribution would be skewed right and if the result is less than
-2.0 then the distribution would be skewed left. In this case, 1.20 /
0.30 = +4.0, therefore it is significantly skewed to the right.
Central Tendency, Spread, or Symmetry?
Right skewed Left skewed

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Quick reminder distribution normal or skewed

  • 1. Normal Distribution is a distribution that has most of the data in the center with decreasing amounts evenly distributed to the left and the right. Skewed Distribution is distribution with data clumped up on one side or the other with decreasing amounts trailing off to the left or the right. How to assess skew: Divide the skew (e.g., 1.20) by the standard error of the skew (e.g., 0.30). If the result is greater than +2.0 then the distribution would be skewed right and if the result is less than -2.0 then the distribution would be skewed left. In this case, 1.20 / 0.30 = +4.0, therefore it is significantly skewed to the right. Central Tendency, Spread, or Symmetry? Right skewed Left skewed