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The data that I have been trying to perform capability analysis on are non-normal. I have tried to transform it using Box-Cox and Johnson Trans, but minitab was not able to fit the data into either of the transformations. I had also run the data through minitab to see if it fits any other known non-normal distribution (such as Weibull, 2-parameter exponential, etc.) and the results show no fit. Now I don't know how to perform capability (Cpk or Ppk) analysis on these data or where to go from here.
Does anyone know how to approach this or have an idea on what I should do?
Below are some data sets that I am working on that has this particular problem. Also, the results of the Goodness of Fit Test performed in Minitab for these data are also included.
Set 1:
0.9150,0.9160,0.9180,0.9140,0.9160,0.9160,0.9150,0.9160,0.9150,0.9150,0.9180,0.9150,0.9160,0.9150,0.9150,0.9140
(The LSL is 0.906 and USL is 0.950)
Set 2:
0.1298,0.1299,0.1294,0.1296,0.1297,0.1298,0.1298,0.1298,0.1295,0.1298,0.1298,0.1298,0.1298,0.1293,0.1297,0.1299
(The LSL is 0.126 and USL is 0.130)
Thanks,
Response(s) are appreciated.
Does anyone know how to approach this or have an idea on what I should do?
Below are some data sets that I am working on that has this particular problem. Also, the results of the Goodness of Fit Test performed in Minitab for these data are also included.

Set 1:
0.9150,0.9160,0.9180,0.9140,0.9160,0.9160,0.9150,0.9160,0.9150,0.9150,0.9180,0.9150,0.9160,0.9150,0.9150,0.9140
(The LSL is 0.906 and USL is 0.950)

Set 2:
0.1298,0.1299,0.1294,0.1296,0.1297,0.1298,0.1298,0.1298,0.1295,0.1298,0.1298,0.1298,0.1298,0.1293,0.1297,0.1299
(The LSL is 0.126 and USL is 0.130)
Thanks,
Response(s) are appreciated.