What is the criteria to determine if I can use identical quartiles to clean multiple sets of data?

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The criteria to determine if you can use identical quartiles to clean multiple sets of data are:

1. The data sets must have a similar distribution and range.
2. The outliers in the data sets must have a similar impact on the dataset.
3. The data sets must be independent of each other.
4. The data sets must have a similar sample size.

If these criteria are met, then it is appropriate to use identical quartiles to clean multiple sets of data. However, if these criteria are not met, then it may be necessary to use different quartiles for each data set.