Examples
Examples
Try the starting example
- JSON Criteria [ID,weight,panel score list]; empty list means missing
- [["A",0.6,[4,5]],["B",0.4,[3,3]]]
- Weighted mean score
- 3.9
- Rated weight coverage (%)
- 100
- Panel ranges by criterion
- [["A",1],["B",0]]
Try another scenario
- JSON Criteria [ID,weight,panel score list]; empty list means missing
- [["A",0.6,[4,4]],["B",0.4,[]]]
- Weighted mean score
- 4
- Rated weight coverage (%)
- 60
- Panel ranges by criterion
- [["A",0]]
Calculation method
Calculation method
Weighted mean score
sum(r[1]*sum(r[2])/len(r[2]) for r in a if r[2])/sum(r[1] for r in a if r[2])
Rated weight coverage (%)
100*sum(r[1] for r in a if r[2])/sum(r[1] for r in a)
Panel ranges by criterion
J([[r[0],max(r[2])-min(r[2])] for r in a if r[2]])
Symbols and units
- a
- JSON Criteria [ID,weight,panel score list]; empty list means missing
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Calculation steps and notation
sum(list) adds all entries in the list.
Assumptions & limits
Assumptions & limits
- Weights nonnegative with positive rated total; missing criteria excluded and rated weights renormalized. Scores share the user rubric scale; no hiring recommendation. Supported limits: All numeric inputs must be finite. Only the explicitly described mathematical scenario is supported.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.