00:01
We're given four different histograms here, and we want to connect them with some different scenarios.
00:09
So the first one we're given is which histogram represents a distribution for a set of quiz scores where the quiz is really easy.
00:18
So if we look at each of these, the first one looks like a pretty normalized distribution.
00:23
So that wouldn't make sense.
00:25
In terms of it being really easy, we would assume that more people would be getting it correct versus not.
00:29
The second one is possible, but it looks like it's skewed the wrong way.
00:34
Usually on the left hand side, it's like smaller values, not looking so good.
00:40
But the third one looks like a great opportunity where you see like all these high scores.
00:45
A few people maybe in like that middle range bs or cs, and then most people who are getting upper scores here.
00:51
So i think for number one, it goes along with histogram number three.
00:59
For the second problem says which histogram represents a distribution for the set of wrist circumferences measured in centimeters taken from the right wrist of a random sample of newborn female infants.
01:11
Well, this is, i mean, going to for sure be normalized.
01:15
I mean, you're talking about a large population of infants, totally random.
01:22
There's no way you could really track this.
01:23
So this one's going to be that first histogram there...