Hello, I have three groups of data resulted from a feature extraction. I want to see if the feature I selected has the comparison significance or not. Actually, I want to see if I can use this feature, or this doesn't have any discriminating value, so i n this case to ignore it. For this, I should do the statistics to understand weather there is any relation between groups for this feature or not. The resulted histogram of distributions of each class are as follow:
According to my search these distributions aren't Gaussian and so I use Mann-Whitney test to see if there is a correlation between the groups. There are two values h and p:
h shows to reject the null hypotheses or not (h=1 rejection, h=0 a failure for rejection)
P-value also shows the evidence against the null hypotheses.
My question is first, did I go correct for using this test? Also how should I interpret these values?
The result for instance for the first two groups were as follow:
p =
1.5170e-09
h =
logical
1
stats =
struct with fields:
zval: -6.0425
ranksum: 1648
Thank you for reading my post.
