JMP 17.2
We analyze data distributions from our devices and may see outliers below the 1st quartile and above the 3rd quartile. We wish to improve the manufacturing process to reduce the number of outliers. Is there a function or application that counts the outliers? For example, the output I wish to see is as follows:
Test | Distribution | No. of outliers below 1st quartile | No. of outliers above 3rd quartile |
A | 1 | 4 | 9 |
A | 2 | 8 | 0 |
… | | | |
A | n | n1 | n2 |
Does the function allow us to define an outlier, or must we use the default definition as given in the Outlier Box Plot.
