I am looking to run multiple t-tests on a dataset but I am unsure if the types of tests I am running would necessitate a multiple comparison correction or not. Below are essentially the tests I will be running:
Is profit margin for big customers is less than for smaller customers
Same as 1 but just US customers
Is profit margin less for customers who bought product class A vs product class B
Same as 3 but just US customers
Is profit margin less for customers who pay cash vs credit
Same as 5 but just US customers
The way I interpret multiple comparisons is that it could be a factor for tests 1,3,5 since I am looking for differences in the same metric across three different categories and then the same would be true with 2,4,6. Would this necessitate a multiple comparison correction? Since I am not doing that many comparisons on the same population would it only be necessary if I was doing more comparisons?