The Assistat Software Version 7.7 and its use in the analysis of experimental data

TLDR

Statistical programs are essential for analyzing experimental data, especially in agriculture where uncontrolled factors necessitate such analyses. This study demonstrates the functionality and efficiency of Assistat software version 7.7 for analyzing agricultural experimental data and evaluates its acceptance. Assistat was applied to randomized block and factorial designs, using ANOVA models and regression for quantitative treatments. The software was widely used in published papers and proved functional and efficient for agricultural experimental data analysis. Key words: Analysis of variance (ANOVA), statistical software, Tukey's test.

Abstract

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.