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This content delves into the importance of confidence intervals in statistical analysis, focusing on error plots, interpretations for between-group comparisons, and methods for within-subject comparisons. Various solutions and caveats are discussed, offering insights into effective visualization and interpretation of data in mixed-effects modeling.
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