For my academical research, I have generated eight Twitter bots. Each bot is specialized in one subject. I have four subjects and two genders (a bot can be either male or female), and each bot has a unique subject-gender combination. So you might have a male bot that's specialized in cars.
The table below shows how many followers each bot managed to gather. So, for example, the male bot with subject 1 had 692 followers. Now, I am curious whether there's a significant difference between the number of followers that the male bots gathered, versus the ones that females managed to gather.
Subject | Female | Male 1 | 692 | 408 2 | 504 | 456 3 | 211 | 175 4 | 210 | 162
As you can see, there's quite a big difference between the number of followers from male and female bots - the female score is consistently higher for each subject. Since the differences are quite large for three of the four subject, I don't understand why the Mann-Whitney U test states that the differences are not significant (since p=0.1562).
Could someone please explain this to me? Or am I using the wrong test in this scenario?