Examples
Examples
Try the starting example
- Subject rows × repeated conditions JSON
- [[4,6,7],[5,7,8],[6,7,9],[3,5,6]]
- Repeated-measures F
- 109
- Condition degrees of freedom
- 2
- Residual degrees of freedom
- 6
- Uncorrected upper-tail p value
- 0.000019
Try another scenario
- Subject rows × repeated conditions JSON
- [[5,6,7],[5,7,8],[6,7,9],[3,5,6]]
- Repeated-measures F
- 54.6
- Condition degrees of freedom
- 2
- Residual degrees of freedom
- 6
- Uncorrected upper-tail p value
- 0.000141
Calculation method
Calculation method
Repeated-measures F
One-factor balanced repeated ANOVA: SSerror=SStotal-SSsubjects-SSconditions.
Condition degrees of freedom
One-factor balanced repeated ANOVA: SSerror=SStotal-SSsubjects-SSconditions.
Residual degrees of freedom
One-factor balanced repeated ANOVA: SSerror=SStotal-SSsubjects-SSconditions.
Uncorrected upper-tail p value
One-factor balanced repeated ANOVA: SSerror=SStotal-SSsubjects-SSconditions.
Symbols and units
- a
- Subject rows × repeated conditions JSON
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
- Uncorrected sphericity-assumed model; no missing cells or covariates. 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. Uncorrected sphericity-assumed model; no missing cells or covariates.
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.