Factorial ANOVA is a statistical method used to assess the impact of two or more independent variables on a dependent variable, allowing researchers to examine interactions between these factors. This approach is beneficial in hypothesis testing and statistical inference as it can reveal how different combinations of factors affect outcomes, making it possible to test multiple hypotheses simultaneously. By analyzing variance in this way, factorial ANOVA provides a comprehensive understanding of complex experimental designs.
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