Statements (65)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Statistician
|
gptkbp:applies_to |
hypothesis testing
|
gptkbp:characterized_by |
two parameters
|
gptkbp:developed_by |
two independent Chi-squared variables
|
gptkbp:has_cumulative_distribution_function |
F(x; d_1, d_2)
|
gptkbp:has_degrees_of_freedom |
d_1 and d_2
|
gptkbp:has_skewness |
positive
|
https://www.w3.org/2000/01/rdf-schema#label |
Fisher's F-distribution
|
gptkbp:is_a |
continuous probability distribution
|
gptkbp:is_applied_in |
gptkb:scientific_research
decision making econometrics |
gptkbp:is_characterized_by |
asymmetry
|
gptkbp:is_defined_by |
non-negative values
|
gptkbp:is_essential_for |
gptkb:technique
experimental design data interpretation |
gptkbp:is_not_defined_for |
negative values
|
gptkbp:is_often_used_in |
gptkb:market_research
social sciences agricultural studies behavioral sciences |
gptkbp:is_part_of |
statistical modeling
statistical inference inferential statistics |
gptkbp:is_related_to |
data visualization
F-test confidence intervals multivariate analysis effect size statistical power sampling distributions variance ratio test |
gptkbp:is_symmetric |
false
|
gptkbp:is_used_in |
gptkb:machine_learning
quality assurance clinical trials environmental studies psychometrics quality control regression analysis risk assessment time series analysis biostatistics meta-analysis model comparison |
gptkbp:is_used_to |
validate models
analyze variance assess treatment effects compare variances determine significance test equality of variances |
gptkbp:is_utilized_in |
data analysis
financial modeling public health research |
gptkbp:mean |
(d_2 / (d_2 -2)) for d_2 > 2
|
gptkbp:named_after |
gptkb:Ronald_A._Fisher
|
gptkbp:related_to |
gptkb:Chi-squared_distribution
Beta distribution |
gptkbp:support |
(0, +∞)
|
gptkbp:used_in |
ANOVA
|
gptkbp:variance |
(2 * d_2^2 * (d_1 + d_1 -2)) / (d_1 * (d_2 -2)^2 * (d_2 -4)) for d_2 > 4
|
gptkbp:bfsParent |
gptkb:Ronald_A._Fisher
gptkb:R._A._Fisher |
gptkbp:bfsLayer |
5
|