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Перехресний табличний аналіз×Точний критерій Фішера×
ГалузьСтатистикаСтатистика
РодинаHypothesis testHypothesis test
Рік появи19001922
Автор методуKarl PearsonR. A. Fisher
ТипDescriptive and inferential categorical analysisExact test of independence for categorical data
Основоположне джерелоPearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗Fisher, R. A. (1922). On the interpretation of chi-squared from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94. DOI ↗
Інші назвиcrosstab, contingency table analysis, two-way frequency table, bivariate frequency analysisFisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi
Пов'язані52
ПідсумокCross-tabulation analysis (contingency table analysis) is a foundational descriptive and inferential technique for examining the relationship between two or more categorical variables. It arranges observed frequencies into a table of rows and columns, enabling visual inspection of patterns and formal chi-square testing of independence between the variables.Fisher's exact test is a nonparametric exact-probability test of independence for small-sample contingency tables, introduced by R. A. Fisher in 1922. Rather than relying on a large-sample approximation, it computes the exact probability of the observed table directly from the hypergeometric distribution.
ScholarGateНабір даних
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  2. 2 Джерела
  3. PUBLISHED
  1. v1
  2. 1 Джерела
  3. PUBLISHED

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ScholarGateПорівняння методів: Cross-tabulation analysis · Fisher's exact test. Отримано 2026-06-17 з https://scholargate.app/uk/compare