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Kurtosis (from Greek: κυρτός (kyrtos or kurtos), meaning 'curved, arching') refers to the degree of tailedness in the probability distribution of a real-valued, random variable in probability theory and statistics. Similar to skewness, kurtosis provides insight into specific characteristics of a distribution. Various methods exist for quantifying…
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distribution excess displaystyle sample normal distributions right skewness one mean moment left values probability variance frac data standard leptokurtic platykurtic
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Kurtosis | is a | fourth standardized moment | 0.90 | text |
| Kurtosis | is a | measure of the dispersion of X around the two values μ | 0.90 | text |
| Kurtosis | is a | useful measure of whether there is a problem with outliers in a data set | 0.90 | text |
| Kurtosis | has application | The | 0.60 | section |
| Kurtosis | has application | Larger | 0.60 | section |
| Kurtosis | has application | D'Agostino's K-squared | 0.60 | section |
| Kurtosis | has application | Jarque | 0.60 | section |
| Kurtosis | has application | Bera | 0.60 | section |
| Kurtosis | related to Excess kurtosis | The | 0.60 | section |
| Kurtosis | related to Excess kurtosis | There | 0.60 | section |
| Kurtosis | related to External links | Excess | 0.60 | section |
| Kurtosis | related to External links | Encyclopedia | 0.60 | section |
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