So if you assume there's some gender gap, this is part c right here, then maybe there's one hump for women, and if you assume that women are less than men, then another hump for men, and there are 25 of each, so there wouldn't be necessarily more men than women, and then it would skew all the way off to the right. And in fact, I think there would probably be a chance that you have this other notion here, where you have these super CEOs or mega CEOs who make millions, while most CEOs probably just make, I'll put it in quotation marks, a few hundred thousand dollars, while there's a small subset that are way off many standard deviations to the right. So it could even be a trimodal distribution here. So that's choice c. And so far, choice a looks like the best candidate for a pure, or the closest to being a normal distribution. Let's see what choice d is. The dates of 100 pennies taken from a cash drawer in a convenience store. 100 pennies.