Can inferential statistics be used to study an entire population? I have collected data from all the exercise science degree programs in my nation through databases (thus representing the population under study).

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*I would like to investigate whether certain credits awarded by degree programs are evenly distributed across the nation or is there any prevalence. I had thought of Levene's tests.

In addition, these degree programs are diversified according to 3 addresses (sports, preventive, management).
2) I would like to investigate the differences between the three addresses (sports, preventive, management) by comparing some variables they have in common to see if there is a significant difference and I had thought of ANOVA.
I just don't know if it makes sense to use inferential statistics if I have the whole population. How could I answer my research questions?
Can anyone give me a suggestion?

Inferential statistics allow you to use available data to infer something. When you have the entire population, you don’t have to infer anything. You have the answer. In that sense, inferential statistics do not make sense when you have the entire population.
However, I have seen many instances where people claim to have the entire population yet insist on doing inferential statistics, and it is clear to me that they do not have the entire population under study. Perhaps the population is not all people but all people who could have existed. (A related term you might hear is a “data-generating process”.) Consider if you are in such a situation.
