I carried out a wilcoxon test (using
wilcox.test in R) in 2 sample groups of size 135 and 48.
My results in r where:
wilcox.test(raj_reps.a, raj_reps.b) Wilcoxon rank sum test with continuity correction data: raj_reps.a and raj_reps.b W = 2359.5, p-value = 0.005217 alternative hypothesis: true location shift is not equal to 0
My H0 was that the groups are equal in means, the alternative hypothesis was that the values in group a are different (lower) than in group b.
Can I accept H0? as the p-value is lower than 0.05?
What exactly means the W value? I read about it and found out its the number of ranks and used as critical value which I can look up in tables. Unfortunately most of the tables are not covering such huge sample sizes. Can anyone tell me if this high W means, that I can accept H0 or do I have to reject it?