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A basic principle that lies at the core of the parallel distributed processing approach is that
Two-Factor ANOVA
A statistical analysis method used to analyze the effects of two independent variables on a dependent variable and the interaction between them.
Interaction
In statistics, the interdependent effect of two or more variables on a response variable, where the effect of one variable depends on the level of the other variable(s).
Treatments
The specific conditions applied to the experimental units or subjects in a study to observe potential effects.
Levels
The different values or categories of a factor in an experiment or statistical analysis.
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