So this is interesting. So for example, trial one, what's the probability of success? Well, there are 20 employees, 20 names in the hat, and 11 of the outcomes would be success, so you have 11 20th probability of success, but in trial two, what's the probability of success given success in, I'll say, trial one, T1? Well, if you succeeded in trial one, that means that there's now only 10 female names in the hat out of 19, and if you don't have success in trial one, then you will have, then it'll be 11 out of 19, so your probability does change based on previous outcomes, and so the trials are not independent, and so x is not a binomial variable. So this one is true. The trials are not independent, so that violates that condition for being a binomial variable. In order to be a binomial variable, all your trials have to be independent of each other, and so we'd rule this last one out because this last one says that x has a binomial distribution, or it is or does meet all the conditions for being a binomial variable.