It really depends what the nature of the data is, and what hypothesis you want to test. For example, a t-test may appropriate, or Wilcoxon-Mann-Whitney, or Mood's median test, and so on. ... Unless I have misunderstood something.
As you have to compare two samples. So it really depends on the nature of your data that how they calculated, either they are coded variables or quantitative. If coded variables then go for non-parametric test like wilcoxon test median test or moods test etc. If quantitative variable then first chek that data is normlly distributed or not. But as you mention that saple size is very small like less than 10, than i think the parametric test does nor give us efficient results then non paranetic tests.