Hi,

This is a relatively beginner question. I am currently looking at filtering methods to apply to a data-set before modelling to find out which predictors are statistically significant. I wish to test a variable (`variable A`

) against the a two class outcome so basically a factor variable of "Yes" or "No". I know that if it was just `variable A`

and my outcome i could use a t-test and a `Bonferroni correction`

so as to avoid a false positive to check if there was a difference between the means. However `variable A`

is measured across 4 groups. My question is actually about the question to research for filter methods specifically

- Can i just use four different t-tests per group to see if the means differ with respect to my target/outcome
- Is there a more appropriate test? I have 17 more variables in the same boat so I would like to do this correctly

Thank you for your time