Question: Latin Square ANOVA ensures that the two unimportant variables do not confuse the treatment effects and increases the reliability of our experimental results. What happens,

Latin Square ANOVA ensures that the two unimportant variables do not confuse the treatment effects and increases the reliability of our experimental results. What happens, though, if there are data outliers? Should we eliminate the outlier to simplify the data, or should we keep it as is, even if the presence of the outliers causes the P-value to rise and the data to no longer be statistically significant

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