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. Let's do another example. So here we have different scenarios, and I have the conditions for binomial variable written right over here, and so once again, pause the video and look at each of these scenarios for random variables, and look at these conditions, and think about whether these random variables are binomial or not. So let's look at the first one. In a game involving a standard deck of 52 playing cards, an individual randomly draws seven cards without replacement. Let y be equal to the number of aces drawn. Well, in our introductory video to binomial variables, we talked about if we're doing without replacement, your probability of getting an ace on a given trial, where trial is you're taking a card out of the deck, it's going to be dependent on whether you got aces in previous trials, because if you got an ace in a previous trial, well, that ace, then you're gonna have fewer aces in the decks.