I have two sets of data for setup time of a machine, one is setup time when fixture is running alone, another is when another fixture is running alongside.
For fixture running alone the data I gathered is not normal although there are only 12 data points.
For parallel running fixture the setup is normally distributed with p0.089 and sample size 10
I wanted to test the null hypothesis that there is no difference in setup time for these two scenarios, would comparing the median of these two data the right way to do it or not.
I understand the sample size is too low, but this experiment is for a product where you do not get many data points. they wanted just an estimate to start working, so all I wanted to do is atleast follow the right way of doing it.