I am comparing frequency count data for observed behaviours in a 3 minute time frame, between two small groups of people. My hypothesis is that there will be significantly more of certain behaviours in one of the groups. As I understand it, frequency count data is by nature non-normal, so from what I have read I would have two options:
- Transform the data to normality using arcsine of the square root, then doing t tests.
- Doing a two sample Poisson distribution, which if I understand rightly should give a p value.
Which is best? I am a stats novice.