Calculadora de Chi² y Prueba Exacta de Fisher
Ingresa los valores observados de tu tabla de contingencia y obtén automáticamente el estadístico χ², la corrección de Monte Carlo y la prueba exacta de Fisher con su interpretación.
Tabla de contingencia
Referencias
- Pearson, 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.
- Fisher, R. A. (1922). On the interpretation of χ² from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94.
- Freeman, G. H., & Halton, J. H. (1951). Note on an exact treatment of contingency, goodness of fit and other problems of significance. Biometrika, 38, 141–149.
- Hope, A. C. A. (1968). A simplified Monte Carlo significance test procedure. Journal of the Royal Statistical Society Series B, 30(3), 582–598.
- Patefield, W. M. (1981). Algorithm AS 159: An efficient method of generating random r×c tables with given row and column totals. Applied Statistics, 30(1), 91–97.
- Mehta, C. R., & Patel, N. R. (1983). A network algorithm for performing Fisher's exact test in r×c contingency tables. Journal of the American Statistical Association, 78(382), 427–434.
- Agresti, A. (2007). An Introduction to Categorical Data Analysis (2nd ed.). Wiley.
- Cochran, W. G. (1952). The χ² test of goodness of fit. Annals of Mathematical Statistics, 23(3), 315–345.
Cita sugerida para este recurso
Suárez-Villasmil, L. (2026). Calculadora de Chi cuadrado y Prueba Exacta de Fisher. TheDataFixer.
https://thedatafixer.github.io/Independency/