How to analyse factorial design with an outcome having two types of variance?
Hello I have a dataset from a 2-level factorial design with 2 factors.The dataset contains purchase amount per each user.Each row is a unique user. Purchase with 0 value means user didn't purchase. A and B are treatments. I want to calculate the effect of treatments A and B on average purchase per user (sum of purchase in USD divided by number of users). However, I assume we need to account for ...