Examples
Examples
Try the starting example
- Unadjusted p values
- 0.01,0.04,0.03,0.2
- Target error level
- 0.05
- Bonferroni adjusted p values
- [0.04,0.16,0.12,0.8]
- Holm adjusted p values
- [0.04,0.09,0.09,0.2]
- Benjamini–Hochberg adjusted p values
- [0.04,0.0533333333333,0.0533333333333,0.2]
- Bonferroni rejected hypothesis indices
- [1]
- Holm rejected hypothesis indices
- [1]
- BH rejected hypothesis indices
- [1]
Try another scenario
- Unadjusted p values
- 0.11,0.04,0.03,0.2
- Target error level
- 0.05
- Bonferroni adjusted p values
- [0.44,0.16,0.12,0.8]
- Holm adjusted p values
- [0.22,0.12,0.12,0.22]
- Benjamini–Hochberg adjusted p values
- [0.146666666667,0.08,0.08,0.2]
- Bonferroni rejected hypothesis indices
- []
- Holm rejected hypothesis indices
- []
- BH rejected hypothesis indices
- []
Calculation method
Calculation method
Bonferroni adjusted p values
Bonferroni=min(1,m p); Holm cumulative maxima ascending; BH reverse cumulative minima.
Holm adjusted p values
Bonferroni=min(1,m p); Holm cumulative maxima ascending; BH reverse cumulative minima.
Benjamini–Hochberg adjusted p values
Bonferroni=min(1,m p); Holm cumulative maxima ascending; BH reverse cumulative minima.
Bonferroni rejected hypothesis indices
Bonferroni=min(1,m p); Holm cumulative maxima ascending; BH reverse cumulative minima.
Holm rejected hypothesis indices
Bonferroni=min(1,m p); Holm cumulative maxima ascending; BH reverse cumulative minima.
BH rejected hypothesis indices
Bonferroni=min(1,m p); Holm cumulative maxima ascending; BH reverse cumulative minima.
Symbols and units
- a
- Unadjusted p values
- b
- Target error level
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. Bonferroni=min(1,m p); Holm cumulative maxima ascending; BH reverse cumulative minima.
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.