Difference between standard deviation and skewness
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Skewness is a parameter that describes asymmetry in random variable's probability distribution with respect to a normal distribution. Standard distribution is for a symetric distribution , skewness is a means of talking about an assymetric distribution.
SD is most common measure of dispersion,measuring how spread the values in a data set.if many points are very different from mean, then standard deviation is high. If all data values are equal , then SD will be 0. SD has no maximum value although it is limited for most data sets.
i hope this will help you
SD is most common measure of dispersion,measuring how spread the values in a data set.if many points are very different from mean, then standard deviation is high. If all data values are equal , then SD will be 0. SD has no maximum value although it is limited for most data sets.
i hope this will help you
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