00:01
So generally speaking, we have that outliers in a data set are any values less than the lower fence, so to speak, which would be the first quartile minus one and a half times the interquartile range, or anything greater than the third quartile plus one and a half times the intercortile range.
00:29
Now we could go through the process of finding q1, in q3, and so on, finding the interquartile range.
00:41
But, well, actually, i'll be a little bit more detailed here.
00:46
So, one second here.
00:47
So we have the value, the frequency, and then i'll also include a cumulative frequency and the cumulative proportion.
00:56
But actually, i'm going to do this in excel.
00:58
I'm not going to be doing anything too fancy in excel, but i'm just going to be using this for making the calculations a little bit easier.
01:07
So we have our different values, are just everything from 10 up to 23.
01:18
Oops, that went too far.
01:23
10 up to 23.
01:24
We have our different frequencies.
01:25
We have 1 -0 -0 -0 -0 -1 -6 -6 -6 -2...