Zero Skewness Meaning. Although the value of zero is used as a reference for determining the skewness of a distribution. The distribution is positively skewed when most of the frequency of distribution lies on the right side of distribution has a longer and fatter right tail.
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The skewness value can be positive zero negative or undefined. This explains why data skewed to the right has positive skewness. In probability theory and statistics skewness is a measure of the asymmetry of the probability distribution of a real valued random variable about its mean.
The skewness value can be positive zero negative or undefined.
For a unimodal distribution negative skew commonly indicates that the tail is on the left side of the distribution and positive skew indicates that the tail is on the right. Although the value of zero is used as a reference for determining the skewness of a distribution. The skewness value can be positive zero negative or undefined. Hence the mean value is less than the median and moves towards the left and the mode occurs at the highest frequency of the distribution.
