ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Fišera precīzais tests×Maknēmara tests×
NozareStatistikaStatistika
SaimeHypothesis testHypothesis test
Izcelsmes gads19221947
AutorsR. A. FisherQuinn McNemar
TipsExact test of independence for categorical dataNonparametric test for paired binary data
PirmavotsFisher, 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 ↗McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗
Citi nosaukumiFisher-Irwin test, exact test of independence, Fisher'ın Kesin TestiMcNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi
Saistītās25
KopsavilkumsFisher'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.McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes.
ScholarGateDatu kopa
  1. v1
  2. 1 Avoti
  3. PUBLISHED
  1. v1
  2. 1 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Fisher's exact test · McNemar's test. Izgūts 2026-06-18 no https://scholargate.app/lv/compare