# Bootstrap hypothesis testing with small sample sizes

I have 2 campaigns (a control and a test campaign), the data are like this:

Capaign      # of launches  Revenue/Visits
Control             1             2.35
Test                1             1.97


I'm trying to do a hypothesis testing on Revenue/Visits metric. But since I don't know it's distribution, I thought It could be a good choice using bootstraping to simulate more data. But I took a look at this document:

And I don't know exactly how could I simulate other samples from this data.

What do you suggest?