How might one deal with the possibility of outliers in Analysis of Variance (ANOVA)?
A)Examine the distribution of scores to see if it contains outliers.If it does, remove them.
B)Examine the distribution of scores to see if it contains outliers.If it does, see if this can be corrected by an appropriate statistical transformation of the sample data.If this is not possible, consider removing individual outliers.Ensure you report any transformations that you make.
C)Examine the distribution of scores to see if it contains outliers.If it does, see if this can be corrected by an appropriate statistical transformation of the sample data.If this is not possible, consider recoding outliers to the same value as the nearest nonoutlier.Ensure you report any transformations that you make.
D)Both (b)and (c).
E)Do not worry: Analysis of Variance automatically corrects for outliers.

Question

Quizplus · Accepted Answer

Both options B and C are valid approaches to dealing with outliers in ANOVA. They involve examining the distribution for outliers and either transforming the data or adjusting outlier values, with the necessity of reporting any changes made.

How Might One Deal with the Possibility of Outliers in Analysis