skewness Definition
a measure of the asymmetry of a probability distribution around its mean.
Using skewness: Examples
Take a moment to familiarize yourself with how "skewness" can be used in various situations through the following examples!
Example
The skewness of the data indicates that it is not normally distributed.
Example
Positive skewness means that the tail on the right side of the distribution is longer or fatter than the left side.
Example
Negative skewness means that the tail on the left side of the distribution is longer or fatter than the right side.
skewness Synonyms and Antonyms
Synonyms for skewness
Summary: skewness in Brief
'Skewness' [ˈskjuːnəs] is a statistical term that measures the degree of asymmetry of a probability distribution around its mean. It is used to describe the shape of a distribution, with positive skewness indicating a longer or fatter tail on the right side, and negative skewness indicating a longer or fatter tail on the left side. An example of its use in a sentence is 'The skewness of the data indicates that it is not normally distributed.'
