skewness
UK[ˈskjuːnəs]US[ˈskjuːnəs]
n
a lack of symmetry or balance in a statistical distribution.
n
the quality of being biased or distorted in a particular direction.
Morpheme Breakdown
skew
ness
skew
to turn aside
ness
state or quality
Etymology
the word 'skewness' is a modern statistical term formed from the older english verb 'skew'. the verb 'skew' entered middle english with a sense of moving sideways or swerving, likely derived from old north french. the '-ness' suffix is a native english morpheme used to convert adjectives or, in this case, the implied adjectival quality of 'skewed', into an abstract noun denoting a state or condition. therefore, 'skewness' literally translates to 'the state or quality of being skewed', which in statistical terminology precisely captures the concept of asymmetry in a probability distribution. its formation follows a classic english pattern of combining a descriptive root with a general abstract-noun suffix to create a precise technical term.
Analysis
Structure: skew (to turn aside) + ness (state or quality)
skew (from middle english 'skewen', meaning to escape or shy, of uncertain origin, likely old north french 'eschuer' meaning to avoid; functions as the core root meaning to slant or twist). ness (from old english '-nes', a suffix forming nouns of state or quality; functions as a nominalizing suffix).
Examples
the positive skewness of the income data indicates a long tail on the right side.
analysts must check for skewness in the dataset before applying certain parametric tests.
the skewness of the histogram was evident, with most values clustered to the left.