In other videos, we introduce ourselves to the idea of a density curve, which is a summary of a distribution, a distribution of data, and in the future, we'll also look at things like probability density, but what I want to talk about in this video is think about what we can glean from them, the properties, how we can describe density curves and the distributions they represent. And we have four of them right over here, and the first thing I want to think about is if we can approximate what value would be the middle value, or the median for the data set described by these density curves. So just to remind ourselves, if we have a set of numbers and we order them from least to greatest, the median would be the middle value, or the midway between the middle two values. In a case like this, we want to find the value for which half of the values are above that value and half of the values are below. So when you're looking at a density curve, you'd want to look at the area, and you'd want to say, okay, at what value do we have equal area above and below that value? And so for this one, just eyeballing it, this value right over here would be the median. And in general, if you have a symmetric distribution like this, the median will be right along that line of symmetry.