Abstract

RAMIRO-VASQUEZ, Edison; CABALLERO-NUNEZ, Alberto  and  HERRERA-VILLAFRANCA, Magaly. Alternatives of data analysis with binomial distribution in random block design. cultrop [online]. 2018, vol.39, n.4, pp. 66-70. ISSN 1819-4087.

The objective of the research was to evaluate the statistical techniques ANOVA, Proportions and Friedman as alternatives to analyze data with binomial distribution in random block design. Using the Monte Carlo method, 100 experiments were simulated with 3, 5 and 9 treatments (t); 4 and 8 replicates (r); with 5, 10 and 30 observations per experimental unit (n) and probability of success of the event (p) of 0,10; 0,20; ... 0,90. The alternatives of analysis: Comparison of Proportions and nonparametric procedure of Friedman, as for the indicators, they do not surpass those obtained in the classic ANOVA of the binomial data. It should be mentioned that in recent years few contributions have been made related to this type of research

Keywords : simulation; Monte Carlo; ANOVA assumptions; Friedman; statistics; linear models.

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