Application of statistical tests of data distribution and its usefulness in animal production

Aplicación de pruebas estadísticas de distribución de datos y su utilidad en producción animal

Published 2024-10-09

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Vol. 21 No. 1 (2024): Revista Lasallista de Investigación
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Martínez López, O. R., & Centurión Insaurralde, L. M. (2024). Application of statistical tests of data distribution and its usefulness in animal production. Revista Lasallista De Investigación, 21(1), 8-22. https://doi.org/10.22507/rli.v21n1a1
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https://doi.org/10.22507/rli.v21n1a1
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Oscar Roberto Martínez López
National University of Asuncion image/svg+xml
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https://orcid.org/0000-0003-2882-6675
Liz Mariela Centurión Insaurralde
National University of Asuncion image/svg+xml
Roles:  
https://orcid.org/0000-0001-5526-6349
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Oscar Roberto Martínez López,

Doctor y Máster en Zootecnia, Ingeniero Agrónomo. Investigador del Centro Multidisciplinario de Investigaciones de la Universidad Nacional de Asunción. Director del Programa Universitario de Becas para la Investigación, ̈Andrés Borgognon Montero ̈ (PUBIABM), Paraguay. 

Liz Mariela Centurión Insaurralde,

Licenciada en Ciencias mención Matemática Estadística. Profesor Asistente en la Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Asunción

Introduction: The appropriate choice of statistical tools for inferential data analysis is fundamental in science. Thus, identifying the behavior of the observations is essential; to select, with the greatest possible precision, the statistical technique that leads to accurate results and enriching conclusions. Objective:The distribution of raw and residual data from cattle and chicken farming was studied by verifying parametric assumptions; In turn, three statistical methods were compared, by zootechnical species, discussing their plasticity, adjustment and precision. Materials and methods: The following were analyzed in cattle: body condition, live weight, hair length and biochemical constants (calcium, phosphorus, magnesium). In chickens: live weight, breast width, thigh length, crest length, presence of endo and ectoparasites. Tests of normality (Shapiro Wilk and Kolmogorov (Lilliefors)) and homogeneity of variances (Levene) were applied. The inferential methods were considered in bovines: ANOVA with Tukey; Welch’s ANOVA with the Games Howell test and Kruskal Wallis with Dunn’s test. In birds: the student test, with Welch and Wilcoxon-Mann-Whitney correction. Results: Normality tests maintained similar results. A difference was found in decision criteria between the inferential analyses, for magnesium level and thigh length. Conclusions: It is explicitly recommended, in veterinary and zootechnical studies, with scientific rigor, to analyze the normality and homogeneity of variance, to appropriately identify and know the behavioral pattern of the data coming from the work, in order to properly implement the inferential statistical tool. that will contribute to discriminating chance and causality in the events treated

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