Examples
Examples
Try the starting example
- Replicate rows [sample ID,reading]
- [["A",1],["A",1.1],["A",0.9],["B",2],["B",2.4]]
- Blank reading to subtract
- 0.1
- User-selected CV flag threshold (%)
- 15
- User-selected standardized replicate deviation limit
- 2
- Replicate summaries
- [["A",0.9,0.1,11.1111111111,"Within supplied CV threshold"],["B",2.1,0.282842712475,13.468700594,"Within supplied CV threshold"]]
- Replicate standardized-deviation review
- [["A",0,0.9,0,"Within supplied standardized-deviation limit"],["A",1,1,1,"Within supplied standardized-deviation limit"],["A",2,0.8,-1,"Within supplied standardized-deviation limit"],["B",3,1.9,-0.707106781187,"Within supplied standardized-deviation limit"],["B",4,2.3,0.707106781187,"Within supplied standardized-deviation limit"]]
Try another scenario
- Replicate rows [sample ID,reading]
- [["A",1],["A",1.1],["A",0.9],["B",2],["B",2.4]]
- Blank reading to subtract
- 0
- User-selected CV flag threshold (%)
- 15
- User-selected standardized replicate deviation limit
- 2
- Replicate summaries
- [["A",1,0.1,10,"Within supplied CV threshold"],["B",2.2,0.282842712475,12.8564869307,"Within supplied CV threshold"]]
- Replicate standardized-deviation review
- [["A",0,1,0,"Within supplied standardized-deviation limit"],["A",1,1.1,1,"Within supplied standardized-deviation limit"],["A",2,0.9,-1,"Within supplied standardized-deviation limit"],["B",3,2,-0.707106781187,"Within supplied standardized-deviation limit"],["B",4,2.4,0.707106781187,"Within supplied standardized-deviation limit"]]
Calculation method
Calculation method
Replicate summaries
[sample,blank-adjusted mean,sample SD,CV%,threshold flag]; CV unavailable for zero mean or fewer than2 replicates.
Replicate standardized-deviation review
For each replicate return blank-adjusted value and (value−group mean)/sample SD; user-selected absolute z limit, not a universal outlier rule.
Symbols and units
- a
- Replicate rows [sample ID,reading]
- b
- Blank reading to subtract
- c
- User-selected CV flag threshold (%)
- d
- User-selected standardized replicate deviation limit
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
- Replicate readings, grouping, blank policy. Returns Means, variation and flagged replicates. 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. Blank reading to subtract: minimum None, maximum 1000000000000.0. User-selected CV flag threshold (%): minimum 1e-12, maximum 1000000000000.0. User-selected standardized replicate deviation limit: minimum 1e-12, maximum 100.
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.