Examples
Examples
Try the starting example
- Net dispensed water masses (mg)
- 99.8,100,99.9
- Water density (mg/µL)
- 0.9982
- Nominal dispense volume (µL)
- 100
- Mean delivered volume (µL)
- 100.080144
- Systematic error (%)
- 0.080144
- Repeatability CV (%)
- 0.1001
Try another scenario
- Net dispensed water masses (mg)
- [99.8, 100, 99.9]
- Water density (mg/µL)
- 1.09802
- Nominal dispense volume (µL)
- 100
- Mean delivered volume (µL)
- 90.981949
- Systematic error (%)
- -9.018051
- Repeatability CV (%)
- 0.1001
Calculation method
Calculation method
Mean delivered volume (µL)
Mean mass/density; buoyancy correction not inferred.
Systematic error (%)
100(mean volume−nominal)/nominal.
Repeatability CV (%)
100 sample SD/mean volume.
Symbols and units
- a
- Net dispensed water masses (mg)
- b
- Water density (mg/µL)
- c
- Nominal dispense volume (µL)
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
- Water masses, density correction, nominal volumes. Returns Bias and repeatability estimates. 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. Net dispensed water masses (mg): minimum 1e-12, maximum 1000000000000.0. Water density (mg/µL): minimum 1e-12, maximum 1000000000000.0. Nominal dispense volume (µL): minimum 1e-12, maximum 1000000000000.0.
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.
Further reading
Background reading; this does not imply endorsement or independent review of SumFizz.