Skewness

Skewness,

Definition of Skewness:

  1. Skewness refers to distortion or asymmetry in a symmetrical bell curve, or normal distribution, in a set of data. If the curve is shifted to the left or to the right, it is said to be skewed. Skewness can be quantified as a representation of the extent to which a given distribution varies from a normal distribution. A normal distribution has a skew of zero, while a lognormal distribution, for example, would exhibit some degree of right-skew.

  2. The three probability distributions depicted below are positively-skewed (or right-skewed) to an increasing degree. Negatively-skewed distributions are also known as left-skewed distributions. Skewness is used along with kurtosis to better judge the likelihood of events falling in the tails of a probability distribution.

  3. Degree to which a statistical distribution is not in balance around the mean (is asymmetrical or lopsided), a perfectly symmetrical distribution having a value of 0. Distributions with extreme values (outliners) above the mean have positive skew, and the distributions with outliners below the mean have negative skew.

How to use Skewness in a sentence?

  1. Distributions can exhibit right (positive) skewness or left (negative) skewness to varying degrees.
  2. Sometimes you will not be able to figure out why things are happening and the skewness will weigh on your mind.
  3. There was some skewness in the data representation which was concerning the statistician because if the data is not consistent then that is a problem.
  4. The skewness of the graph rendered it unbelievable because the stats were off in certain areas and I knew it.
  5. Investors note skewness when judging a return distribution because it, like kurtosis, considers the extremes of the data set rather than focusing solely on the average.
  6. Skewness, in statistics, is the degree of distortion from the symmetrical bell curve in a probability distribution.

Meaning of Skewness & Skewness Definition

Skewness,

Skewness means,

Equilibrium refers to distortion or imbalance in the curves of an equivalent bell or a general distribution in a data set. If the curve shifts left or right, it is said to be disproportionate. Equilibrium can be measured as a representation of the extent to which a particular distribution deviates from the general distribution. A normal distribution has a zero slope, while a logical normal distribution, for example, would have a right slope.

  • Equilibrium in data is the degree of distortion of a symmetrical bell rotation in a potential distribution.
  • Divide right (positive) or left (negative) can be applied to varying degrees.
  • Investors pay attention to distortion when estimating the distribution of returns because, like smooth, it also takes into account the extremes of the dataset rather than the average.

Synonyms of Skewness

lack of balance , unevenness , inequality , dissymmetry , lopsidedness , crookedness , imbalance