The upper dot plot shows the times in seconds of the top eight finishers in the final round of the 2012 Olympics, so that's in green right over here, the final round. The lower dot plot shows the times of the same eight swimmers but in the semifinal round. So given these distributions, which one has a higher center? Well, once again, I mean, and here, you can actually, it's a little bit easier to eyeball even what the median might be. The mean, I would probably have to do a little bit more mathematics, but let's say the median, let's say there's one, two, three, four, five, six, seven, eight data points, so the median is gonna sit between the lower four and the upper four, so the central tendency right over here is for the final round, is looks like it's around 57.1 seconds, while the, especially if we think about the median, while the central tendency for the semifinal round, let's see, one, two, three, four, five, six, seven, eight, looks like it is right about there, so this is about 57, more than 57.3 seconds, so the semifinal round seems to have a higher central tendency, which is a little bit counterintuitive. You would expect the finalists to be running faster on average than the semifinalists, but that's not what this data is showing, so the semifinal round has higher center, higher, higher center, and I just eyeballed the median, and I suspect that the mean would also be higher in this second distribution, and now what about variability? Well, once again, if you just looked at range, and these are both at the same scale, if you just visually look, the variability here, the range for the final round, is larger than the range for the semifinal round, so you would say that the final round has higher variability, variability, it has a higher range.