Examples
Examples
Try the starting example
- Baseline conversion fraction
- 0.1
- Treatment conversion fraction
- 0.12
- Users per equal-sized arm
- 5000
- Two-sided alpha
- 0.05
- Normal-approximation power
- 0.891897
- Null standardized expected difference
- 3.196014
Try another scenario
- Baseline conversion fraction
- 0.11000000000000001
- Treatment conversion fraction
- 0.12
- Users per equal-sized arm
- 5000
- Two-sided alpha
- 0.05
- Normal-approximation power
- 0.347472
- Null standardized expected difference
- 1.56729
Calculation method
Calculation method
Normal-approximation power
Normal alternative with pooled-null critical boundary, actual alternative variance.
Null standardized expected difference
Normal alternative with pooled-null critical boundary, actual alternative variance.
Symbols and units
- a
- Baseline conversion fraction
- b
- Treatment conversion fraction
- c
- Users per equal-sized arm
- d
- Two-sided alpha
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
- Calculation uses the entered values and stated mathematical model; quantities must use the labelled units. 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. Normal alternative with pooled-null critical boundary, actual alternative variance.
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.