I am trying to test if the shape and median of two samples are significantly different using Mann Whitney U test (or wilcox.test in R). The two samples (A and B), however differ in size, A has 176,000 data points and B has 150. The power of the test, I assume, will decrease due to the difference in sample size, but how does one adjust the p-value to account for the sample size difference between two samples?
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msakya
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see http://stats.stackexchange.com/questions/31326/how-should-one-interpret-the-comparison-of-means-from-different-sample-sizes/31330#31330 about the change in power of the t-test decreasing with differences in sample size.
So, no matter the difference in sample size, we can confidently reject of accept null hypothesis based on p-value being less than certain value, say 0.05?
– msakya Apr 20 '16 at 17:21