Fractile Interval
Fractile interval is a financial term used to describe the range of values that a given variable can take. It is used to measure the variability of a given set of data points. The fractile interval is calculated by taking the difference between the highest and lowest values of a given set of data points. This interval is then divided into a number of equal parts, which are referred to as fractiles. The fractiles are then used to measure the variability of the data points.
History of Fractile Interval
The concept of fractile interval was first introduced by the French mathematician Pierre-Simon Laplace in the late 18th century. He used the concept to measure the variability of a given set of data points. Since then, the concept has been used in various fields such as finance, economics, and statistics. It is also used in the field of machine learning to measure the variability of a given set of data points.
Comparison Table
Fractile Interval | Variability |
---|---|
Lowest Value | Lowest Variability |
Highest Value | Highest Variability |
Summary
In summary, fractile interval is a financial term used to measure the variability of a given set of data points. It is calculated by taking the difference between the highest and lowest values of a given set of data points and then dividing it into a number of equal parts. The fractiles are then used to measure the variability of the data points. For more information about fractile interval, you can visit websites such as Investopedia and Investing.com.
See Also
- Variance
- Standard Deviation
- Coefficient of Variation
- Range
- Interquartile Range
- Mean Absolute Deviation
- Mean Squared Error
- Root Mean Squared Error
- Mean Absolute Error
- Median Absolute Deviation