Two means in one sample
I'm not sure if this belongs in the basic bit but the question is pretty simple...
I have some biological orientation data in a histogram that looks like it has two normally dsitributed means in it, they are spread out with one mean a good distance from the other.
Does anyone know how to test for each of the peaks in the data?
Is there a mathematical test for this,
a) Number of peaks in the histogram. (I could do this in code)
b) It's normally distributed.(Based soley on 1 image)
I could just separate them in code and test each peak within it's range, but I'm not sure if that is mathematically sound? Or whether that's a statistical no no :eek:...
Apparently this is called a bi-polar distribution, and I've been told it's ok to separate them, I'm still not 100% convinced though as it seems arbitrary.
Any help would be appreicated (Happy)
Clearly, there can't be two means.
I'm guessing that you have two modes.
It's called bimodal and not bipolar.
I know too many people that can best be described as bipolar.
Thanks for the reply, I know what to search for now...
Thanks for clarifying my mistakes, mode not mean, and bimodal not polar.
hehe it's no wonder I couldn't find it looking for bipolar (Giggle)
If you happen to know a good book for this area I'd appreciate it (Bow)