I'm comparing two groups of data. One group has a sample size of 30, and the other a sample size of 45. The second group is not normally distributed, and thus this violates the normality assumption. Then, I reasoned that I should use a non-parametric test -- the Mann-Whitney test. However, the two groups don't seem to have sufficiently similar distributions (pictures attached)? I would love some opinions on what test would be good to use here between the two.