Following my question here, I am wondering if there are strong views for or against the use of standard deviation to detect outliers (e.g. any datapoint that is more than 2 standard deviation is an outlier).
I know this is dependent on the context of the study, for instance a data point, 48kg, will certainly be an outlier in a study of babies' weight but not in a study of adults' weight.
Outliers are the result of a number of factors such as data entry mistakes. In my case, these processes are robust.
I guess the question I am asking is: Is using standard deviation a sound method for detecting outliers?