I had experience in using R in university to simulate a string of outcomes using monte carlo methods.
Does anyone has experience on the actual wheel probabilities for different defects especially wheels that is quite common nowadays and also the migration under actual and realistic conditions? If so, how much hits would the good one steal from the normal ones, or how the bad ones would donate to the normal ones and how the probabilities shift over time?
By using this method, i can estimate how much data i need to have a high enough chi square /confident that a wheel is biased. For example, a 15% advantage wheel would need 6000 spins, a 25% advantage wheel would need 4000 spins, a 8%advantage wheel would need 10000 spins, something like that.
I already have some data for some wheels.
