Examples
Examples
Try the starting example
- Sampling strata [ID,observed effort,target effort share]
- [["north",80,0.5],["south",20,0.5],["east",0,0]]
- Effort share deviations
- [["north",0.8,0.5,0.3],["south",0.2,0.5,-0.3],["east",0,0,0]]
- Unvisited positive-target strata
- []
- Total variation imbalance
- 0.3
Try another scenario
- Sampling strata [ID,observed effort,target effort share]
- [["north",50,0.5],["south",50,0.5],["east",0,0]]
- Effort share deviations
- [["north",0.5,0.5,0],["south",0.5,0.5,0],["east",0,0,0]]
- Unvisited positive-target strata
- []
- Total variation imbalance
- 0
Calculation method
Calculation method
Effort share deviations
[stratum,observed share,target share,observed−target]; target shares must sum1.
Unvisited positive-target strata
List IDs with zero effort and positive target share.
Total variation imbalance
0.5 sum absolute share differences; descriptive, not causal bias estimate.
Symbols and units
- a
- Sampling strata [ID,observed effort,target effort share]
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Effort by location-time, target sampling frame. Returns Coverage imbalance and unvisited strata. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification.
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.