0:00
All right.
00:01
It's looking at some baseball data from the 2016 season.
00:06
We're looking at 30 teams.
00:10
And we're making a report based on some questions here.
00:13
So in the data set, we're looking for some data to make a new variable, which is age of the stadium and make a box plot of that.
00:27
And if there are any outliers.
00:31
So that's what i did here.
00:33
So this is the data minus column d here.
00:36
That is part of the dataset.
00:39
This is the one i included.
00:41
And for that, i just made a little formula, which i've erased now, but it's, i just have equals 2016 minus that value.
00:54
So is the age? and then we're just making a dot plot of it at first.
00:58
And so that's what i've got here.
01:02
The stadium age is the e of the min is four.
01:05
The first quartile is 12.
01:06
The median is 17 and a half.
01:08
Third quartile, 26 and a quarter, and max is 104 making the box plot you get this so it's skewed positively skewed or skewed to the right and which means you have this a longer tail on the right larger values and there are four outliers which are above the 50 marks let's see let's uh oh a little and also a little little trick here i'm going to freeze that row so as they scroll around problem i'm going to sort, highlight all this data, and then sort that has hetero, age.
02:06
There we go.
02:07
So the outliers were these four, five.
02:14
Oh, yeah, because there's two.
02:15
They're the same dot.
02:15
That's right.
02:16
So oakland, l .a., both l .a.
02:19
Teams, and the chicago cubs, and the austin red sox.
02:28
So those five are outliers.
02:37
And let's see.
02:38
The next thing we need to do is use the salary variable and make a box plot of that and compete the quartiles so the salary there's the there's the data the necessary statistics for the box plot you got the min the first quartile the median 114 .25 the third quartile that 144 the max 223 and that's this one here and there are no outliers and it's skewed to the right.
03:14
You have this longer tail, positively skewed...