RAHA — Roni's Adjusted Hybrid Average
Developed by Aharon Roni Pesach
RAHA (Roni's Adjusted Hybrid Average) is a statistical formula designed to compute a robust average while penalizing outliers—both high and low. It is especially useful in educational grading systems, financial modeling, and any context where extreme values may distort a fair representation.
Formula Description
RAHA adjusts the impact of outliers by blending:
- The weighted average (mean)
- A trimmed average (removing extremes)
- A hybrid of both, based on configurable weights
Example Calculation
Given the following values and weights:
| Value | Weight |
|---|---|
| 80 | 10 |
| 80 | 15 |
| 70 | 15 |
| 75 | 10 |
| 80 | 10 |
| 90 | 15 |
| 70 | 10 |
| 60 | 15 |
The RAHA result combines the weighted average with an adjustment mechanism to reduce the influence of outliers.
