00:01
For this problem, where you're determining variables that might represent different shapes, different shapes of distributions.
00:07
So the first one we're looking at a symmetrical or normal shape.
00:11
So one variable that might represent this would be rolling a pair of dice.
00:17
The most common roll would be a seven, and then it kind of goes down from there until you get to 2 and 12 at the ends of your graphs where your tails would end.
00:27
Those would be the lowest probability of rolling that combination.
00:32
Another example might be blood pressure.
00:36
Most adults have a blood pressure within a certain range, so you'd see the majority at the center of the graph, with a few adults having a lower blood pressure and a few having a higher blood pressure.
00:47
And then also you could use heights of adults.
00:51
That would tend to be grouped.
00:53
Again, the majority of adults being within a certain range of heights, but then some being shorter, some being taller, and those tails flattening out towards the ends with our modes somewhere in the center.
01:07
The next shape we're looking for is uniform shape.
01:10
So for this one, you could say rolling one die, and the reason for that would be if you're rolling one die, you should have an equal probability of rolling a one, two, three, four, five, and six...