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skewness::noun | Spocien Dictionary
| Type | Words |
|---|---|
| Synonyms | lopsidedness |
| Type of | asymmetry, dissymmetry, imbalance |
| Derivation | skew |
Examples of skewness
skewness
Its expected value can even have the opposite sign from the true skewness.
From the en.wikipedia.org
As skewness becomes more pronounced, these summary metrics differ by increasing degrees.
From the nature.com
The problem is not a smaller population, the problem is the skewness of the age distribution.
From the economist.com
Studies the influence of median and skewness in regression analysis.
From the en.wikipedia.org
The skewness value can be positive or negative, or even undefined.
From the en.wikipedia.org
A value of skewness equal to zero does not imply that the probability distribution is symmetric.
From the en.wikipedia.org
Then the mean and skewness exist and are both identically zero.
From the en.wikipedia.org
Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable.
From the en.wikipedia.org
The skewness coefficient a approaches to normal distribution.
From the en.wikipedia.org
- Lopsidedness: an oblique or slanting asymmetry
- In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable. The skewness value can be positive or negative, or even undefined. ...
- The tendency of a distribution to depart from symmetry or balance.
- Skewness is a lack of symmetry in a distribution. Data from a positively skewed (skewed to the right) distribution have values that are bunched together below the mean, but have a long tail above the mean. ...
- This is the non uniform distribution of data above or below the middle of a sample.
- A measure of the deviation from symmetry of a distribution, or the tendency of values to be more spread out on one side of the mean than the other.
- Statistical term describing the third central moment about the mean, a measure of asymmetry.
- A parameter describing an asymmetrical probability distribution curve. If the curve skews to the right, it is a positive distribution, but if the curve skews to the left, it is negative.
- Negative skewness means there is a substantial probability of a big negative return. Positive skewness means that there is a greater-than-normal probability of a big positive return.
