Skewness is the measure to study the aspect of whether a distribution is symmetrical or not if a distribution is not symmetrical we say that it is skewed. In a symmetrical distribution the values of the variable equi-distant from their mean have equal frequencu.
In a perfectly symmetrical distribution mean, median and mode coincide if this is not the case the distribution is said to be skewed.
pearson's coefficient of skewness = mean-mode
------------
S.D
when mode is not well defined
pearson's coefficient of skewness = 3(mean-median)
-------------------------
S.D
Bolwey's coefficient of skewness = Q3+Q1-2M
------------------
Q3-Q1
In a perfectly symmetrical distribution mean, median and mode coincide if this is not the case the distribution is said to be skewed.
pearson's coefficient of skewness = mean-mode
------------
S.D
when mode is not well defined
pearson's coefficient of skewness = 3(mean-median)
-------------------------
S.D
Bolwey's coefficient of skewness = Q3+Q1-2M
------------------
Q3-Q1
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