I have heard the words Skew and Kurtosis mentioned but am unware of what there results represent. Any help will be appreciated. However, a visual examination of the data is generally most useful. If the kurtosis is different from 0, then the distribution is either flatter or more peaked than a normal. The kurtosis of a normal distribution is 0.
Skewness measures the deviation of the distribution from symmetry.
If the skewness is different from 0, then that distribution is asymmetrical. Normal distributions are perfectly symmetrical. It is relatively easy to do the calcs, but if you got the accurate info, we can do a bell diagram and by example show you how to arrive at the answer. All rights reserved.