Assume we have a lottery machine where you press a button and it returns one of 5 motifs in one of 5 colours. Each of these also has a chance to be gilded.
Assume I have a dataset containing outcomes of this lottery machine. i.e. a list of motifs, their colours and whether or not it is gilded.
How would I go about estimating the probabilities of getting each combination? How would I determine whether gilding probability is independent of motif and/or color?
I'm very familiar with linear normal models, mme models and hypothesis testing in these models but I have no idea how to proceed with a problem like this.