Sufficient statistics knowledge is crucial for the correct design of a research plan. The elucidations of results are interpretive only if appropriate statistical methods are applied. Statistical strategies are a particular approach to demonstrate complicated information in broad and explicable conclusions. The emergence of biostatistical approaches for diet evaluation has improved the accuracy of diet estimation, and different methodologies of data integration promise to magnify our understanding of ecological communities. The present study aimed to compile multiple statistical methods used for diet analysis. More specifically, the significant analysis used in diet assessment, central expectations, and preferences related to each measure was conceptualized. In addition, the ability of each test to evaluate diversity, richness, differentiation, fluctuation, similarity, and quantification of multiple diet items was summarized. Moreover, different options were proposed for researchers to select the appropriate statistical tests. This study covers a framework, aim, and understanding of the statistical test methods of diet analysis.
Keywords: diet analysis; diversity measures; nonparametric test; species diversity; statistical tests.