Examples
Examples
Try the starting example
- Sample values (2–6)
- 1,2,4,5
- Confidence fraction
- 0.95
- Exact bootstrap percentile lower mean
- 1.5
- Exact bootstrap percentile upper mean
- 4.5
- Enumerated ordered resamples
- 256
Try another scenario
- Sample values (2–6)
- 2.0,2.0,4.0,5.0
- Confidence fraction
- 0.95
- Exact bootstrap percentile lower mean
- 2
- Exact bootstrap percentile upper mean
- 4.5
- Enumerated ordered resamples
- 256
Calculation method
Calculation method
Exact bootstrap percentile lower mean
Enumerate all n^n replacement resamples, compute means, linear-interpolated quantiles.
Exact bootstrap percentile upper mean
Enumerate all n^n replacement resamples, compute means, linear-interpolated quantiles.
Enumerated ordered resamples
Enumerate all n^n replacement resamples, compute means, linear-interpolated quantiles.
Symbols and units
- a
- Sample values (2–6)
- b
- Confidence fraction
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
- Exact empirical bootstrap of mean for 2–6 observations; no random seed or BCa approximation. Supported limits: All required fields must be finite values of the exact declared type and within displayed bounds. Lists contain1–1000 finite numbers. JSON tables are numeric rectangular rows, at most100 rows and30 columns; individual tools have stricter shape/domain constraints. Exact empirical bootstrap of mean for 2–6 observations; no random seed or BCa approximation.
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.