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:
http://www.stat-athens.aueb.gr/~karlis/lefkada/boot.pdf
And I don't know exactly how could I simulate other samples from this data.
What do you suggest?