Dear Omar, the p-value is the probability that a certain summary statistic U of the data takes the value it takes, given that the null-hypothesis is true. Your p-value is 0.002, you can compare this to an alpha of your choice, and if that alpha were larger, you would come to the decision that the null-hypothesis can be rejected.
Best wishes Wolfgang ------------------------------------------------------------------ Wolfgang Huber EBI/EMBL Cambridge UK http://www.ebi.ac.uk/huber Baqueiro ha scritto: > Greetings, I am trying to perform a Mann-Whitney U test to a pair of > data series, according to what I have read about R the command to use > is: > > wilcox.test(data1, data2) > > However I am having trouble interpreting the results: > --- > Wilcoxon rank sum test with continuity correction > > data: Dataset$OTMinR and Dataset$OTMaxW > W = 460627.5, p-value = 0.001798 > alternative hypothesis: true location shift is not equal to 0 > --- > > According to my understanding the test tests the hypothesis that the > two data series are drawn from a single population. And I interpret > those results, having the p-value 0.001798, that the hypothesis is NOT > rejected, meaning that there is a high probability that the two > samples come from the same population. Is that interpretation true? > > Also, I am not sure what is the alpha value of the performed test? is > it 0.05? or 0.01? is there a way to change it? > > Thank you! > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
