I have a bank customer loan dataset with columns loan amount, funded amount, interest rate(high, medium, low), annual income of customer, loan status as (default and fully paid).
Could I use two sided P tail test to compare each columns with loan status, whether there is any significance difference between default and fully paid analysis? I don't know what would I infer after the results.
For e.g. tail test on annual income of customer for each loan status(default and fully paid). After analysis the result came out to be rejecting Null hyopthesis(H/u default= fully paid) i.e. There is a significance difference between the annual income mean of defaulters and fully paid.