Eficiencia de los métodos de comparaciones múltiples en el control de Meloidigyne Incógnita en ají Paprika
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Date
2021
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Universidad Nacional de Trujillo
Abstract
El presente trabajo de investigación se realizó en la Universidad Nacional de Trujillo, en el distrito de Trujillo, con el fin de determinar la eficiencia de los métodos de comparaciones múltiples en el control de meloidogyne incógnita en ají paprika. Al analizar y obtener resultados de las variables aplicándoles los métodos de comparaciones múltiple, las cuales tenemos Tukey, Bonferroni y Scheffé, se puede deducir que el método más sensible para detectar los ligeros cambios de media, es Tukey. Tukey al ser más sensible a esos cambios de media, también viene a ser el más eficiente método de comparaciones múltiples, la cual fue obtenida comparándola con otros métodos (Bonferroni y Scheffé) descartándolas mediante el uso del intervalo de confianza al 95% y viendo quien tiene menor amplitud midiendo cada una de ellas
Abstract The present research was carried out at the National University of Trujillo, in the district of Trujillo, in order to determine the efficiency of multiple comparison methods in the control of meloidogyne incognita in ají paprika. When analyzing and obtaining results of the variables by applying the methods of multiple comparisons, which we have Tukey, Bonferroni and Scheffé, it can be deduced that the most sensitive method to detect the slight changes of average, is Tukey. Tukey being more sensitive to these changes in the average, it also becomes the most efficient method of multiple comparisons, which was obtained by comparing it with other methods (Bonferroni and Scheffé) by discarding them by using the 95% confidence interval and seeing who It has smaller amplitude measuring each of them
Abstract The present research was carried out at the National University of Trujillo, in the district of Trujillo, in order to determine the efficiency of multiple comparison methods in the control of meloidogyne incognita in ají paprika. When analyzing and obtaining results of the variables by applying the methods of multiple comparisons, which we have Tukey, Bonferroni and Scheffé, it can be deduced that the most sensitive method to detect the slight changes of average, is Tukey. Tukey being more sensitive to these changes in the average, it also becomes the most efficient method of multiple comparisons, which was obtained by comparing it with other methods (Bonferroni and Scheffé) by discarding them by using the 95% confidence interval and seeing who It has smaller amplitude measuring each of them
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Keywords
Eficiencia, Comparaciones Múltiples, Intervalos