A negative binomial distribution is when you have a bunch of numbers and some of them will happen more often than others. For example, if you flipped a coin 10 times, you might get 5 heads and 5 tails. That's what happens when the numbers don't have a negative binomial distribution. But if you flipped the coin 10 times and got 8 heads and 2 tails, that would have a negative binomial distribution. That means that the numbers are not evenly spread out, but that some numbers are more likely than others to show up.