Examples
Examples
Try the starting example
- Modal point counts [mineral label,count]
- [["Quartz",40],["Feldspar",35],["Mica",25]]
- Modal proportions and marginal Wilson95 intervals
- [["Quartz",40,0.4,0.309401286432,0.497997413209],["Feldspar",35,0.35,0.263642482431,0.447455567031],["Mica",25,0.25,0.175452113623,0.343044635481]]
- Total counted points
- 100
Try another scenario
- Modal point counts [mineral label,count]
- [["Quartz",50],["Feldspar",30],["Mica",20]]
- Modal proportions and marginal Wilson95 intervals
- [["Quartz",50,0.5,0.403831530366,0.596168469634],["Feldspar",30,0.3,0.218948852949,0.395848546333],["Mica",20,0.2,0.133366933331,0.288829165593]]
- Total counted points
- 100
Calculation method
Calculation method
Modal proportions and marginal Wilson95 intervals
Per mineral [label,count,proportion,lower,upper]; binomial marginal intervals, not simultaneous multinomial coverage.
Total counted points
Sum supplied nonnegative integer counts.
Symbols and units
- a
- Modal point counts [mineral label,count]
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
- Point-count observations, classifications. Returns Modal proportions and sampling uncertainty. 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.