Skewness Value Meaning. The skewness value of any distribution showing a negative skew is always less than zero. Therefore right skewness is positive skewness which means skewness 0.
A larger negative value in the data set means that distribution is negatively skewed larger positive value in the data set means that distribution is positively distributed. Also the mode occurs at the highest frequency of the distribution which is on the left side of the median. In cases where one tail is long but the other tail is fat skewness does not obey a simple rule.
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 for a normal distribution is zero and any symmetric data should have a skewness near zero. 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. So towards the right of the graph the scores become more positive. By skewed left we mean that the left tail is long relative to the right tail.
