Unlocking Synergistic Effects: Two-Factor Analysis Reveals Hidden Interactions
The article discusses the benefits of combining different factors in a single experiment, which can reveal interactions between them that are not apparent when studied individually. By using a two-factor analysis of variance (ANOVA), researchers can estimate the effects of each factor and their interactions. This approach allows for a more efficient use of resources and provides valuable insights into how different factors may work together to influence outcomes.