00:01
All right.
00:02
To begin this question, if you're going to calculate these values by hand, you do want to make sure your data is in order from least to greatest, which i have up there at the top.
00:15
So for your fiber data, the median is your middle number.
00:20
There are 18 values in your data set.
00:27
So your middle ends up being right there.
00:32
Eight is on either side.
00:33
So the median is eight.
00:34
Your first quartile is a way of describing the middle of the lower section of your data.
00:45
So there are nine values there.
00:48
So the middle number is seven.
00:53
For third quartile or upper quartile is the middle of the upper set.
00:58
There are nine values there.
01:04
And this one is in the middle.
01:06
So that is 12.
01:07
And your iqr is calculated by subtract.
01:12
Q3 minus q1, which in that case is five.
01:19
For the sugar data, we'll follow the same steps.
01:23
You had 18 values.
01:30
Here's your halfway point.
01:31
So the 10 on either side is your median.
01:40
On the left side, the lower set of data, your 6 is the middle of your lower set of data, and your 13 is the middle of your upper set of data.
01:53
Upper set of data.
01:55
13 minus 6 for your iqr is 7.
02:04
Are there any outliers in the sugar content data set? so to tell if you have outliers, we use a formula that takes q1 minus 1 .5 times the iqr and q3 plus 1 .5 times the iqr.
02:29
So if we do that for the sugar data, q1 minus 1 .5 times the iqr.
02:38
Turns out to be negative 4 .5.
02:42
Since your dataset does not have any values that are lower than that, there are no low outliers...