Abstract
This chapter examines the analysis of variance (ANOVA) and Fisher
statistical tests as fundamental research methods. Introduction to ANOVA and its
application to the investigation of significant differences between data groups. Subsequently, we examine the application of Fisher tests in various contexts, including one-factor, two-factor, and even three-factor analyses. In addition, we investigate the design and experimental application of Latin squares. We conclude by
discussing multivariate analysis of variance (MANOVA) and emphasizing its usefulness for investigating multiple response variables. This chapter concludes with
a comprehensive overview of the previously mentioned statistical techniques and
their applicability to scientific research.
Keywords: Analysis of variance, ANOVA, fisher statistical test, fisher test in rourfactor, fisher test in one-factor, fisher test in two-factors, fisher test in three-factors, latin squares, MANOVA, multivariate analysis of variance.
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