I plan on getting Josem my HH tonight after I get home from work and put the kids to bed. Anyway...are there any formally schooled statisticians on here that think a chi-square goodness of fit test would be a good starting point to determine whether or not we can really dive deeper into whether there was cheating or not? Believe me, I do think these fools cheated. However, I think a chi-square goodness of fit test would validate our observed values of the cheaters (as seen in PT) vs. what our expected values are (for winning players). Our sample size for winning players is certainly large enough, and I imagine we have a similar sample of the losing players.
I wasn't a stats major, but I remember enjoying my stats class when I was in my masters program. In fact, one of the things we talked about was a casino using the chi-square goodness of fit test to determine whether the dice a gambler was using was fair. I have a link to this exact scenario
Chi-square
I'm not sure if this helps, but I'd really like to catch these fools if possible.
AC