Perform a non-directional Wilcoxon Rank-Sum Test. How are the significance results different from the
Using pcnt_unemployed at the outcome variable and urban as the grouping variable
What will be an ideal response?
wilcox.test(pcnt_unemployed~urban, data=depdata)
Wilcoxon rank sum test with continuity correction
data: pcnt_unemployed by urban
W = 76650, p-value < 2.2e-16
alternative hypothesis: true location shift is not equal to 0
We see that p < 2.2e-16, which tells us that there is a statistically significant difference between unemployment
percentages of rural and urban postcodes. Therefore, our significance results are the same as they were
with the t-test.
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