Why the p value is so small in mann-whitney test?

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Roxan
Roxan 2020-8-19
评论： Jeff Miller 2020-8-20
Hi,
I have two matrix with diferent sizes
A(9*16)
B (3*16)
I want to check if the data from A are signifcantly diferent from the data in B using MWT (since not normal distribution)
This is my procedure:
C=[A; B];
group= [ones(size(A)); 2 * ones(size(B))];
g=group(:);
D=C (:);
[p, h, stats] = ranksum (D,g)
is there something wrong? my p value is returned very small!
p =
9.3520e-121
h =
logical
1
stats =
struct with fields:
zval: -23.3666
ranksum: 62128
Roxan

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Jeff Miller
Jeff Miller 2020-8-19
I think you use ranksum like this:
[p, h, stats] = ranksum (A,B)
With your command, it is testing whether the A & B scores are different from 1 & 2 (the group codes)
  2 个评论
Roxan
Roxan 2020-8-20
Oh, Ok, the group was used to deal with the matrix situation!
but in this case, perhaps I should first make the A and B vecor by
A=A(:)
B=B(:) and then use
[p, h, stats] = ranksum (A,B)
right?
Thanks

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