In the context of statistical analysis, particularly in Analysis of Variance (ANOVA), a level refers to the distinct categories or groups within a factor that are being compared. Each level represents a specific treatment or condition that is applied to different groups in an experiment. Understanding levels is crucial because they help identify how variations among different groups can affect the overall outcome of the analysis.
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