Meaning of skew
A measure of the asymmetry of the probability distribution of a real-valued random variable. Negative skew: The left tail is longer, the mass of the distribution is concentrated on the right of the figure. It has a few relatively low values. The distribution is said to be left-skewed. In such a distribution, the mean is lower than median which in turn is lower than the mode (i.e., mean < median < mode), in which case the skewness coefficient is lower than zero. Positive skew: The right tail is longer, the mass of the distribution is concentrated on the left of the figure. It has a few relatively high values. The distribution is said to be right-skewed. In such a distribution, the mean is greater than median which in turn is greater than the mode (i.e., mean > median > mode), in which case the skewness coefficient is greater than zero. Skewness is the third standardized moment, defined as the third moment about the mean and divided by the cube of the standard deviation. See also skewness.
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