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Answer 1

Step-by-step explanation:

Skewness is a measure of the symmetry of a distribution. The highest point of a distribution is its mode. ... A distribution is skewed if the tail on one side of the mode is fatter or longer than on the other: it is asymmetrical.As a general rule of thumb: If skewness is less than -1 or greater than 1, the distribution is highly skewed. If skewness is between -1 and -0.5 or between 0.5 and 1, the distribution is moderately skewed. If skewness is between -0.5 and 0.5, the distribution is approximately symmetric.

Answer 2

Answer:

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.