Skewness π§΅
Distribution is symmetric if it looks the same to the left and right of the center point.
Skewness differentiates extreme values in one versus the other tail.
Negative values for the skewness indicate data that are skewed left - the left tail is long relative to the right tail.
The mean of a left-skewed distribution is almost always less than its median.
Positive values for the skewness indicate data that are skewed right - the right tail is long relative to the left tail.
Here the mean is almost always greater than the median.
Because extreme values affect the mean more than the median.
When a distribution has zero skew, it is symmetrical. Its left and right sides are mirror images.
The skewness for a normal distribution is zero.
The mean = median
Since the value is negative, the data is skewed to the left - the left tail is slightly longer than the right tail.
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