how would I know the difference when rejecting null hypothesis wilcox.test(data$personal_sex, data$dwelling_problems_safety, mu=0, alt="two.sided", conf.int=T, conf.level =0.95, paired=F, exact=F, na.action = na.omit)


My Hypothesis is :
H0 : Male = Female
H1 : Male not equal to female
So my question is when, I reject the null hypothesis and accept that the difference in male and female is there, how do I interpret the male and female difference which gender has more effect on the hypothesis?

Since the hypothesis is about the difference between males and females, it is not really possible to say that one gender had "more effect" on the hypothesis ---i.e., more effect on the difference.  As an analogy, if I say there is 2.5 years difference in age between me and my brother, it would be silly to then ask which of our ages had the most effect on this age difference.
