Mann-Whitney-Wilcoxon test 1.0

This file executes the non parametric Mann-Whitney-Wilcoxon test to evaluate the difference between unpaired samples. If the number of combinations is less than 20000, the algorithm calculate the exact ranks distribution; else it uses a normal distribution approximation. The result is not different fromRANKSUM MatLab function, but there are more output informations. There is an alternative formulation of this test that yields a statistic commonly denoted by U. Also the U statistic is computed.Syntax: STATS=MWWTEST(X1,X2)Inputs:X1 and X2 - data vectors.Outputs:- T and U values and p-value when exact ranks distribution is used.- T and U values, mean, standard deviation, Z value, and p-value when normal distribution is used.If STATS nargout was specified the results will be stored in the STATS struct.Example:X1=[181 183 170 173 174 179 172 175 178 176 158 179 180 172 177];X2=[168 165 163 175 176 166 163 174 175 173 179 180 176 167 176];Calling on Matlab the function: mwwtest(X1,X2)Answer is:MANN-WHITNEY-WILCOXON TEST--------------------------------------------------------------------------------Sample size is good enough to use the normal distribution approximationT U mT sT zT p-value (1-tailed)--------------------------------------------------------------------------------270.0000 150.0000 232.5000 24.1071 1.5348 0.0624

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Deviation,  Inputs,  Nargout,  Results,  Standard,  Stats,  Stored,  Struct
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