# Skewed Probability Distribution

Jump to navigation
Jump to search

A Skewed Probability Distribution is a probability value distribution that is a skewed distribution.

**AKA:**Skewed Distribution, Imbalanced Distribution.**Context:**- It can range from having a Positive Skew to having a Negative Skew.
- It can be associated to a Skewed Probability Function.

**Example(s):****Counter-Example(s):****See:**Imbalanced Training Dataset, Mean, Bimodal Distribution.

## References

### 2011

- (Wikipedia, 2011) ⇒ http://en.wikipedia.org/wiki/Skewness
- 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. Qualitatively, a negative skew indicates that the*tail*on the left side of the probability density functionis*longer*than the right side and the bulk of the values (including the median) lie to the right of the mean. A positive skew indicates that the*tail*on the right side is*longer*than the left side and the bulk of the values lie to the left of the mean. A zero value indicates that the values are relatively evenly distributed on both sides of the mean, typically but not necessarily implying a symmetric distribution.

- In probability theory and statistics,