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.
![gustavjung_0-1617821120759.png gustavjung_0-1617821120759.png](https://community.jmp.com/t5/image/serverpage/image-id/31919iDD35737FBBDEAC26/image-size/medium?v=v2&px=400)
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 two types of variance.
First – the variance of the purchase rate, that is, did the user order or not. Second – the variance in average purchase value.
Can you suggest the appropriate method to do such an analysis in JMP?
I have attached the dataset.
Learning DOE