Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:physicist
|
| gptkbp:appliesTo |
variance ratio tests
|
| gptkbp:evaluates |
confidence intervals
treatment effects model fit |
| gptkbp:has_a |
right-skewed shape
F-distribution_CDF |
| https://www.w3.org/2000/01/rdf-schema#label |
Fisher's F-distribution
|
| gptkbp:is_a |
continuous probability distribution
|
| gptkbp:is_characterized_by |
two degrees of freedom
|
| gptkbp:is_essential_for |
statistical inference
|
| gptkbp:is_involved_in |
beta distribution
|
| gptkbp:is_recognized_for |
non-negative values
|
| gptkbp:is_studied_in |
variance in experiments
|
| gptkbp:is_used_in |
artificial intelligence
sociology ANOVA behavioral science computer science data analysis finance information technology machine learning clinical trials education research environmental studies historical research linguistics philosophy of science psychological testing psychometrics regression analysis robotics agricultural research data mining anthropology political science multiple groups network analysis marketing research econometrics public health research experimental design multivariate analysis demography sports analytics social_sciences hypotheses about variances the equality of variances two population variances |
| gptkbp:isUsedFor |
the ratio of two scaled chi-squared variables
|
| gptkbp:matchType |
k1 and k2
|
| gptkbp:previousName |
gptkb:Ronald_A._Fisher
|
| gptkbp:related_to |
F-test
normal distribution chi-squared distribution |
| gptkbp:suitableFor |
quality control
bioinformatics |
| gptkbp:symbolizes |
F(k1,_k2)
|