Bonferroni correction
E1127489
UNEXPLORED
The Bonferroni correction is a statistical method for controlling the family-wise error rate when performing multiple hypothesis tests by adjusting the significance threshold.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Bonferroni correction canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T14910939 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonferroni correction Context triple: [Tukey's range test, comparedWith, Bonferroni correction]
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A.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
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B.
Tukey's range test
Tukey's range test is a statistical post-hoc multiple comparison procedure used to determine which group means differ significantly after an ANOVA.
-
C.
Fisher's exact test
Fisher's exact test is a statistical significance test used to determine whether there are nonrandom associations between two categorical variables in a contingency table, especially with small sample sizes.
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D.
Kruskal–Wallis test
The Kruskal–Wallis test is a nonparametric statistical method used to determine whether there are statistically significant differences between the medians of three or more independent groups.
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E.
Tukey's fences
Tukey's fences are a statistical rule-of-thumb method for identifying outliers in a data set using interquartile range–based cutoff points.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonferroni correction Target entity description: The Bonferroni correction is a statistical method for controlling the family-wise error rate when performing multiple hypothesis tests by adjusting the significance threshold.
-
A.
Tukey's honestly significant difference test
Tukey's honestly significant difference test is a statistical post-hoc procedure used to determine which specific group means differ after an ANOVA indicates a significant overall effect.
-
B.
Tukey's range test
Tukey's range test is a statistical post-hoc multiple comparison procedure used to determine which group means differ significantly after an ANOVA.
-
C.
Fisher's exact test
Fisher's exact test is a statistical significance test used to determine whether there are nonrandom associations between two categorical variables in a contingency table, especially with small sample sizes.
-
D.
Kruskal–Wallis test
The Kruskal–Wallis test is a nonparametric statistical method used to determine whether there are statistically significant differences between the medians of three or more independent groups.
-
E.
Tukey's fences
Tukey's fences are a statistical rule-of-thumb method for identifying outliers in a data set using interquartile range–based cutoff points.
- F. None of above. chosen
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.