Hi (Hi),

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 ...

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)

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 ...

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)

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