Hi!
I am playing with implementing some statistics in Excel, with no macros, only formulas.
I have implemented, among other things, Mann-Whitney test following the procedure described in this very useful site (http://faculty.vassar.edu/lowry/webtext.html).
In essence, given two samples, the implementation I made in Excel calculates:
a) the U value
b) the z-score
c) the significance (p) (two-tailed) (applying the function: norm.distrib.st(z-score value)*2.
Cross-checking the test's results with the ones from other statistical programs, I noted that sometimes p is not correct.
That is, I noted that if norm.distrib.st(z-score value) is > 0,5, to get the right p I have to use (1-distrib.norm.st(z-score))*2.
Can anyone help me to understand this issue? It seems to me that I am missing something in there.
Thanks
Regards
Gm
I am playing with implementing some statistics in Excel, with no macros, only formulas.
I have implemented, among other things, Mann-Whitney test following the procedure described in this very useful site (http://faculty.vassar.edu/lowry/webtext.html).
In essence, given two samples, the implementation I made in Excel calculates:
a) the U value
b) the z-score
c) the significance (p) (two-tailed) (applying the function: norm.distrib.st(z-score value)*2.
Cross-checking the test's results with the ones from other statistical programs, I noted that sometimes p is not correct.
That is, I noted that if norm.distrib.st(z-score value) is > 0,5, to get the right p I have to use (1-distrib.norm.st(z-score))*2.
Can anyone help me to understand this issue? It seems to me that I am missing something in there.
Thanks
Regards
Gm