I have four weights. I want to test if there is an outlier within those four weights.
To me, the number seems quite small to detect outliers.
I thought that the Median Absolute Deviation (MAD) may be a way to detect outliers.
I used it in R with
where D is those numbers:
[1,] 1.2492 [2,] 1.2885 [3,] 1.1707 [4,] 1.3207
The result was
numeric (0). This has to do with the
>2 term (which is supposed to mean 2 MAD -SDs away from the middle mad or so). Does that mean there is no outlier within this group?
Is this actually a sound way to check for an outlier in this specific case?