Tukey's range test
E371257
Tukey's range test is a statistical post-hoc multiple comparison procedure used to determine which group means differ significantly after an ANOVA.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Tukey's range test canonical | 2 |
| Tukey’s range test | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3600020 — 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.
Target entity: Tukey's range test Context triple: [John W. Tukey, developedConcept, Tukey's range test]
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A.
F-test
The F-test is a statistical hypothesis test used to compare variances and assess the overall significance of models, especially in analysis of variance (ANOVA) and regression.
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B.
Hotelling’s T-squared distribution
Hotelling’s T-squared distribution is a multivariate generalization of Student’s t-distribution used primarily for hypothesis testing and constructing confidence regions for mean vectors in multivariate statistics.
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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.
F-distribution
The F-distribution is a continuous probability distribution widely used in statistics, especially for comparing variances and conducting analysis of variance (ANOVA) tests.
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E.
Mauchly
Mauchly is the surname of John W. Mauchly, the American physicist and co-inventor of the ENIAC, one of the earliest general-purpose electronic digital computers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Tukey's range test Target entity description: Tukey's range test is a statistical post-hoc multiple comparison procedure used to determine which group means differ significantly after an ANOVA.
-
A.
F-test
The F-test is a statistical hypothesis test used to compare variances and assess the overall significance of models, especially in analysis of variance (ANOVA) and regression.
-
B.
Hotelling’s T-squared distribution
Hotelling’s T-squared distribution is a multivariate generalization of Student’s t-distribution used primarily for hypothesis testing and constructing confidence regions for mean vectors in multivariate statistics.
-
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.
F-distribution
The F-distribution is a continuous probability distribution widely used in statistics, especially for comparing variances and conducting analysis of variance (ANOVA) tests.
-
E.
Mauchly
Mauchly is the surname of John W. Mauchly, the American physicist and co-inventor of the ENIAC, one of the earliest general-purpose electronic digital computers.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
multiple comparison procedure
ⓘ
parametric test ⓘ post-hoc test ⓘ statistical test ⓘ |
| alsoKnownAs |
Tukey's honestly significant difference test
ⓘ
surface form:
Tukey's HSD test
Tukey's honestly significant difference test ⓘ
surface form:
Tukey's Honestly Significant Difference test
Tukey's honestly significant difference test ⓘ
surface form:
Tukey's honestly significant difference procedure
|
| appliesTo | all pairwise comparisons of group means ⓘ |
| assumes |
equal variances across groups
ⓘ
homogeneity of variances ⓘ independent observations ⓘ normally distributed errors ⓘ |
| canBeAdaptedTo | unbalanced designs ⓘ |
| category | post-hoc multiple comparison test ⓘ |
| comparedWith |
Bonferroni correction
ⓘ
Dunnett's test ⓘ Scheffé's method ⓘ |
| controls | family-wise error rate ⓘ |
| controlsErrorRate | at a specified alpha level ⓘ |
| designedFor | balanced designs ⓘ |
| developedBy |
John W. Tukey
ⓘ
surface form:
John Tukey
|
| field |
inferential statistics
ⓘ
statistics ⓘ |
| implementedIn |
Python statistical libraries
ⓘ
R ⓘ SAS ⓘ IBM SPSS Statistics ⓘ
surface form:
SPSS
Stata ⓘ |
| input |
pooled estimate of error variance
ⓘ
sample means of groups ⓘ sample sizes of groups ⓘ |
| morePowerfulThan | Bonferroni correction in balanced one-way ANOVA for pairwise means ⓘ |
| output |
confidence intervals for pairwise mean differences
ⓘ
p-values for pairwise mean comparisons ⓘ |
| purpose |
to control family-wise error rate in multiple comparisons
ⓘ
to determine which group means differ significantly ⓘ |
| relatedConcept | honestly significant difference ⓘ |
| relatedTo | F-test in ANOVA ⓘ |
| requires | significant overall ANOVA result ⓘ |
| typicalAlpha | 0.05 ⓘ |
| usedAfter |
analysis of variance
ⓘ
one-way ANOVA ⓘ |
| usedIn |
agricultural experiments
ⓘ
biomedical research ⓘ experimental design analysis ⓘ psychology research ⓘ social science experiments ⓘ |
| usesDistribution | studentized range distribution ⓘ |
| usesStatistic | studentized range statistic ⓘ |
How these facts were elicited
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Subject: Tukey's range test Description of subject: Tukey's range test is a statistical post-hoc multiple comparison procedure used to determine which group means differ significantly after an ANOVA.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.