Advances in Experimental Agriculture
Advances in Experimental Agriculture ISSN 8931-3216 Vol. 1 (2), pp. 007-014, March, 2017. © International Scholars Journals
Full Length Research Paper
Functionality and efficiency in the analyses of experimental data of Agricultural research
*Anderson Inacio, Dilma Ribeiro and Philippe Firmino
Department of Food Engineering, Federal University of Campina Grande, Campina Grande, Paraíba, Brazil.
Accepted 18 February, 2017
Statistical programs are essential tools for those who deal with scientific research and need to analyze experimental data. In agriculture, there are often uncontrolled factors, which determine the necessity of statistical analyses of the data. The Assistat software version 7.7 is one of these tools and this study aimed to demonstrate its functionality and efficiency in the analyses of experimental data of agricultural research and evaluate its acceptance. In order to exemplify its utilization, data of agricultural experiments were analyzed using the models of analysis of variance for randomized block and factorial experiments. In addition, the regression was used in the analysis of variance for quantitative treatments. It was concluded that the software was used in many papers published in journals and that it is functional and efficient in the analysis of experimental data of agricultural research.
Key words: Analysis of variance (ANOVA), statistical software, Tukey's test.
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