Hi all,
I'm newbie for DoE & trying to use 2^3 Full factorial design.
some detail of my test is:
- All 3 factors is categorical. I have 8 runs with combination of them
- My response is continuous with target is minimize. I measure the result when changing factors condition.
- I use repetition, for each run i built 20 pcs for same factors setting.
When putting data into the data table. I have some big question.
1) There are only 1 box for response result in data table . Normally I will put the mean of 20pcs repetition. But distribution of this 20pcs is not normal. It's lognormal & extremely right skewed. So what data should I put into the run's results? (mean or std deviation or what)
2) I tried to put the mean or std.deviation then fit the regression model to data. it show very bad fit.
Is that normal if you factors are all categorical?
Can I still use factorial profiler with my test to have some judment about main effect & interaction effect?
Thank so much for helping
