- Thread starter flyforward_bin
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So - putting this in psychology terms - A,B, and C are 3 different interventions. We want to know which performs best. But you cant find comparable samples to test them on?

Now, whether there is any value in doing a less than completely fair test of A, B and C in your case ...

If you can't run A, B and C through the exact same procedure, then any difference in results can be argued to be attributable to the procedure rather than widget A, B or C

What about a correlational analysis (sorry, probably distracting you with my psychology analogy). If A has 10 performance data points, and, say 10 electric surge data points, and 10 amplitude points ... can you give us a better understanding of what the data looks like?

Actually, A, B and C they are going through the exact same procedure. Maybe I did not explain this well. Let me explain this in neuroscience ( might be closer to psychology).

There are A, B and C three types of neuron. Given the same electric stimulation, A, B and C will release neurotransmitter. We would like to study which type of neuron A, B or C is more resistant to electric stimulation, means given certain stimulation, the neuron releases min neurotransmitter or not at all. In reality, when we stimulate the neuron, we can see that some neurons within group A, B or C did not even release neural transmitter at all and this happens randomly. For the neurons that can release neural transmitter, we have ways like fastCV to record the quantity. Then the experiment results is the chance to release neurotransmiter is A>B>C( A has higher chance to release than B and C). Once the neurons release neurotransmitter, the quantity of neurotransmiter release A<B<C ( A release less than B, B less than C, we can get this through a t-test for mean).

Then if we consider both factors ( chance of release) and ( quantity of release), how do I pick which group is more resistant to electric stimulation, which means less chance to release and / or less volume released.

Karabiner or someone will be able to correct me, but i'm thinking a chi-squared for multiple samples - more info here - https://sphweb.bumc.bu.edu/otlt/MPH...quare/BS704_HypothesisTesting-ChiSquare3.html