What does the skewness of a distribution measure?
The dissertation in a normal distribution or symmetrical bell curve in a set of data is called skewness. The curve is said to be skewed if it is shifted to right or left side. It is a measure use to find whether a distribution is varied from normal distribution. Every normal distribution will have zero skewness. The types of skewness are negative skewness and positive skewness. A distribution in which majority of the values cluster near left trail while right tail seem to be longer is known as positive skeweness. Under negative skewness data are skewed left.
Skewness is considers as a measure of symmetry in a particular distribution. Skewness also measure s the probability in the tails. Skeweness is a measure of risk which is used widely in financial markets. It is very useful to determine how the data varies from that of normal distribution.
Get Answers For Free
Most questions answered within 1 hours.