And it tells us right here, he took a random sample of his 24 games, so we meet that condition. The second condition, when we're talking about chi-squared hypothesis testing, is the large counts, large counts condition. And this is an important one to appreciate. This is that the expected number of each category of outcomes is at least equal to five. Now, you might say, hey, wait, wait, I only got four wins, or Kenny only got four wins out of his sample of 24. But that does not violate the large counts condition. Remember, what is the expected number of wins, losses, and ties?