Hi,
Can someone help me with this?
I did experiments to determine a certain feature (Open Porosity) in 3 different directions, in 21 little volumes.
So, I had 21 volumes and each volume yielded 3 values, i.e. 3 times an open porosity value.
I've fitted non-linear curves through the data, and now I want to know if they are significantly different from each other.
Is this possible to do this in JMP?
![VinceL_0-1621809664658.png VinceL_0-1621809664658.png](https://community.jmp.com/t5/image/serverpage/image-id/33040iB654B9C8B778199D/image-size/medium?v=v2&px=400)
Here I fitted the model y=a*x^b, JMP gave me the best possible estimation of the model parameters (a and b). Measurements are not shown here, these are just the fitted nonlinear curves in the 3 directions.
![VinceL_1-1621809821161.png VinceL_1-1621809821161.png](https://community.jmp.com/t5/image/serverpage/image-id/33041iBBB7675FF2205192/image-size/medium?v=v2&px=400)
Here, I fitted again 3 curves but with another model, there was just one model parameter that was needed to be fit.
I know the curves are quite similar and that they probably will not be significantly different, but I need to know it 100% sure, as well as the strategy to test if they are statistically different or not
Thanking you in advance!