But it's a pretty neat result. We are now, we have this 95% confidence interval, so we're confident that there's a 95% chance that the true difference of these two samples, and remember, the sample means, the means of the sample, the difference between the, let me make it very clear, the difference between the means of the sample is, or let me put it, the sample means, the expected value of the sample means is actually the same thing as the expected value of the populations. And so, what this is giving us is actually a confidence interval for the true difference between the populations. If you were to give everyone, every possible person, diet one, and every possible person, diet two, this is giving us a confidence interval for the true population means. And so when you look at this, it looks like diet one actually does do something because in any case, even at the low end of the confidence interval, you still have a greater weight loss than diet two. Hopefully that doesn't confuse you too much. In the next video, we're actually going to do a hypothesis test with the same data.