00:01
We are given the quartiles for a dataset.
00:03
So we have the first quartile, 272 .8.
00:09
We have the second quartile, 388 .5.
00:15
We have the third quartile, 529 .1.
00:20
First thing we want to do is identify if something is an outlier by getting the fences.
00:25
So something is an outlier, if it is more than 1 .5 of the interquotile range, below the first quartile or above the third quartile.
00:38
And the intercortile range is the third quartile minus the first quartile.
00:44
So here, that is, 529 .1, minus 272 .8, and we're going to be multiplying this by 1 .5.
00:56
Let's doing that.
00:59
Okay, so whatever i'm subtracting and adding on is 384 .45.
01:04
So, something is an outlier if it is below, so 272 .8, minus 384 .45, gives me a lower fence minus 111 .65.
01:34
For the upper fence, we're going to be adding that on.
01:42
So it's the third quartile plus 384 .45.
01:50
So 529 .1 plus 384 .45 gives us 913 .55.
02:00
So is this an outlier? yes, yes, it is.
02:04
It is above the upper fence, so you're correct...