> By definition, average is in the middle of whatever distribution they follow. Not necessarily the middle. In a skewed distribution, the average is still the

> By definition, average is in the middle of whatever distribution they follow. Not necessarily the middle. In a skewed distribution, the average is still the sum of the samples divided by the number of samples, but it's not located at the middle (centerpoint) of the sample set. > Maybe median would be a more appropriate point to measure against though. You managed to get that exactly backwards. It's the median that's located at the middle of the distribution, not the mean. For a balanced distribution, they're the same, but for a skewed distribution, it's the mean that moves away from the "middle", not the median.