Wondering if anyone has an opinion on whether bootstrapping the difference in means is the right method given I have a situation with extreme data points. I've decided to use this as I don't think a t test is appropriate
I have about 30k observations per group (3 groups)
My situation is about spend, and I have extreme outliers: the outliers aren't quite like an "income" distribution. That is, most users (95%+) will spend zero, a subset of users will spend 5 - 10 dollars. some will spend about 20 or 50 dollars and then a select few will spend 500+, with a couple of users spending 5000 or 10000+
I am trying to test which group brought in the most revenue per user.
Can anyone offer any advice on which statistical test is best suited?